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Complex multiphase reaction rims that form during garnet breakdown are known as kelyphite coronae and are common amongst exhumed mantle xenoliths. It has long been established that a reaction of garnet and olivine produces kelyphite corona consisting of spinel and pyroxenes, and that preservation of high-pressure garnet cores requires sufficiently rapid uplift of material through the spinel lherzolite stability field from depths of at least 60 km. We present new high-pressure, high-temperature experiments of garnet breakdown in the spinel–lherzolite stability field demonstrating that a series of cascading reactions can reproduce the multilayer, multiphase kelyphites seen in nature. In all experiments where breakdown occurred, a melt appears to have moderated the reactions towards equilibrium; we believe this to be the first experimental confirmation of the importance of such melts in garnet breakdown reactions. In our experiments at least three distinct zones of concentric kelyphite growth can occur at a single pressure, temperature condition; we suggest, therefore, that such kelyphites seen in natural samples do not have to be caused by a multistage uplift path as is often assumed. Kelyphitic coronae surrounding garnet have previously been used to estimate uplift rates; however, the lack of kinetic data for relevant exhumation reactions has limited their use for PTt pathway estimations and the understanding of emplacement mechanisms. In order to constrain accurate PTt pathways we use reaction rim thickness as a proxy for reaction progress and present preliminary results for the kinetics of garnet breakdown. [ABSTRACT FROM AUTHOR]

The Zones of Confidence (ZOC) is a composite data quality indicator used in Electronic Navigational Charts. Accident reports show that failing to account for chart data quality can result in maritime accidents and loss of life. ZOC overlays are intended to help mariners in identifying potential seafloor hazards and in plotting routes safe for the vessel, but a major concern with the ZOC concept has been the utilized symbology with glyphs consisting of stars. Due to its recognized deficiencies, star-symbology has been rejected for use with the successor of ZOC, the Quality of Bathymetric Data (QoBD). This work presents a research effort toward a new QoBD representation. We define the requirements for the new coding scheme to be effective and propose two texture schemes incorporating countable elements, one consisting of lines and one of dot clusters. For comparison, we developed three alternative, color-based, coding schemes based on ideas previously expressed in the maritime community. Lastly, we present the design, dissemination, and results of an online user survey carried out to evaluate the five coding schemes. The survey results demonstrate that the proposed textures are the most preferred coding schemes among survey respondents. [ABSTRACT FROM AUTHOR]

Amylose content, fine structure, and protein content affect the hardness and stickiness of cooked rice. However, the mechanisms of those effects have not been fully understood especially the fine structure of amylose. Here, 22 rice varieties with large ranges of both starch chain‐length distributions and protein content are examined, and the starch structural results are parameterized using biosynthesis‐based models. The ratios of the activities of branching enzyme and starch synthase for amylose showed positive and negative correlations with rice hardness (coefficient 0.556 and 0.838) and stickiness (coefficient −0.498 and −0.639), respectively. Protein content is strongly positively correlated with hardness, with nitrogen application up to the panicle development stage (coefficient 0.640). New findings could be obtained from these correlations, which reveal that in the whole region of amylose, the shorter the amylose is, the harder and less sticky the cooked rice is, which has not been reported previously. In addition, protein is found to influence rice hardness significantly, while rice stickiness is less affected by it. Therefore, a comprehensive mechanism of protein effects on rice texture is proposed. This work provides information for breeders to develop improved rice varieties. [ABSTRACT FROM AUTHOR]

The generation of superpixels is becoming a critical step in SAR image segmentation. However, most studies on superpixels only focused on clustering methods without considering multi-feature in SAR images. Generating superpixels for complex scenes is a challenging task. It is also time consuming and inconvenient to manually adjust the parameters to regularize the shapes of superpixels. To address these issues, we propose a new superpixel generation method for SAR images based on edge detection and texture region selection (EDTRS), which takes into account the different features of SAR images. Firstly, a Gaussian function is applied in the neighborhood of each pixel in eight directions, and a Sobel operator is used to determine the redefined region. Then, 2D entropy is introduced to adjust the edge map. Secondly, local outlier factor (LOF) detection is used to eliminate speckle-noise interference in SAR images. We judge whether the texture has periodicity and introduce an edge map to select the appropriate region and extract texture features for the target pixel. A gray-level co-occurrence matrix (GLCM) and principal component analysis (PCA) are combined to extract texture features. Finally, we use a novel approach to combine the features extracted, and the pixels are clustered by the K-means method. Experimental results with different SAR images show that the proposed method outperforms existing superpixel generation methods with an increase of 5–10% in accuracy and produces more regular shapes. [ABSTRACT FROM AUTHOR]

The typical feature of hot‐rolled sheets exhibits strong inhomogeneity in microstructure and texture along the thickness direction, and the latter can be named as texture gradient. Herein, the recrystallization and grain growth behaviors of the hot‐rolled sheet in a thin‐gauge nonoriented electrical steel are investigated at different normalization temperatures. The origin and the growth behavior of the main recrystallization texture {114}<481> are revealed. The results show that the texture gradient in hot‐rolled sheets leads to the difference in microstructure and texture between the surface layer and the central layer after normalization. The strong {114}<481> recrystallization texture originates in the orientation transition zone and the vicinity of the grain boundaries of deformed α‐fiber grains in the central layer of hot‐rolled sheets. The volume advantage of {114}<481> grains stem from the favorable growth environment caused by the low‐deformation stored energy, low orientation gradient, higher mobility of grain boundary, and size advantage to their surrounding deformation structure. In the final sheet, {100}<021> texture is the most vital texture, but {114}<481> grains exhibit a large volume fraction. As there are only 4–5 grains on average along the thickness direction of the final sheet, the texture gradient along the thickness direction no longer exists. [ABSTRACT FROM AUTHOR]

The geometric curvature of nanoscale magnetic shells brings about curvature-induced anisotropy and Dzyaloshinskii–Moriya interaction (DMI). Here, we derive equations to describe the profile of the magnetic vortex state in a spherical cap. We demonstrate that the azimuthal component of magnetization acquires a finite tilt at the edge of the cap, which results in the increase of the magnetic surface energy. This is different compared to the case of a closed spherical shell, where symmetry of the texture does not allow any tilt of magnetization at the equator of the sphere. Furthermore, we analyze the size of the vortex core in a spherical cap and show that the presence of the curvature-induced DMI leads to the increase of the core size independent of the product of the circulation and polarity of the vortex. This is in contrast to the case of planar disks with intrinsic DMI, where the preferred direction of circulation as well as the decrease or increase of the size of vortex core is determined by the sign of the product of the circulation and polarity with respect to the sign of the constant of the intrinsic DMI. [ABSTRACT FROM AUTHOR]

The oil storage effect of textures is beneficial for lubrication performance under starved lubrication. When the larger of the two surfaces in friction pairs is textured, the moving textures should be considered because the boundary conditions are transiently changed at each moment. This is especially for the cross‐hatched textures, which are manufactured on the cylinder liner while not on the piston ring. However, it means that the calculation cost will be very expensive for engineering friction pairs because the required calculation scale is very large and the required time step is very small. So the dynamic characteristics of moving textures on engineering surfaces are normally neglected in the existing researches. In this study, a starved lubrication model of the piston ring‐cylinder liner (PRCL) system is established considering the oil storage effect, local hydrodynamic effect and dynamic characteristics of the moving cross‐hatched textures. To speed up the calculation, an efficient parallel algorithm is developed. The results show that there is a significant difference in minimum oil film thickness (MOFT), wear load and oil film boundaries between stationary textures and moving textures, so the moving textures should not be simplified. This is helpful to find a better design of textures for engineering friction pairs. [ABSTRACT FROM AUTHOR]

Random-needle embroidery is a kind of traditional Chinese embroidery where artists reproduce the original color image using multilayered intersecting stitches and overlapped deliberately. In other words, artists embroider intersecting stitches layer by layer to depict true color subjects. To create this embroidery art, the major challenge lies on evenly distribution of intersecting stitches to prevent the canvas in embroidery areas from being exposed. Meanwhile, intersecting stitches in each layer should be distributed as evenly as possible so that each layer of intersecting stitch can be quantified as a segment color to synthesize the target segment color. To tackle these challenges, we introduce local texture growth mechanism from example-based discrete element texture synthesis to the application of random-needle embroidery art stylization and propose a new local growth where a uniformity metric is designed to keep intersecting stitches nearly evenly distributed in each layer. In addition, we adopt a color dithering model to specify a color for each layer of monochromatic intersecting stitches at microscopic scale. We apply our method on a rich variety of images, and visually appealing random-needle embroidery images can be obtained in all cases. [ABSTRACT FROM AUTHOR]

Smokescreen jamming is one of the most common types of interference in optical imaging. However, there are few tools available to assess the effectiveness of optical imaging in the presence of smoke screen interference, and most of them are qualitative in nature. There is an urgent need for targeted quantitative assessment methods. Therefore, a novel effectiveness evaluation method of smoke screen jamming (EEMSSJ) based on the histogram of oriented gradient and local binary pattern feature is proposed. According to the influence on the tracking effect, the proposed method weights and fuses the directional gradient histogram feature, texture feature, cosine similarity, and luminance feature of the image and finally obtains the EEMSSJ index. The EEMSSJ index provides a quantitative assessment of the effectiveness of smoke screen interference from an image perspective, which can effectively improve the accuracy of the analysis and judgment of the smokescreen jamming situation and provide a strong reference basis for making timely adjustments to the interference deployment. The effectiveness of the proposed method and the EEMSSJ index are validated by experiments. Experimental results show that the EEMSSJ index can achieve a high level of agreement with the subjective assessment of the experimental data and possess high sensitivity and robustness. The EEMSSJ index provides a more accurate representation of the dynamic disturbance of the smoke screen than the correlation assessment method and the multi-scale structural similarity method. [ABSTRACT FROM AUTHOR]

Theropods were the dominating apex predators in most Jurassic and Cretaceous terrestrial ecosystems. Their feeding ecology has always been of great interest, and new computational methods have yielded more detailed reconstructions of differences in theropod feeding behaviour. Many approaches, however, rely on well‐preserved skulls. Dental microwear texture (DMT) analysis is potentially applicable to isolated teeth, and here employed for the first time to investigate dietary ecology of theropods. In particular, we test whether tyrannosaurids show DMT associated with more hard‐object feeding than compared to Allosaurus; this would be a sign for higher levels of osteophagy, as has often been suggested. We find no significant difference in complexity and roughness of enamel surfaces between Allosaurus and tyrannosaurids, which conflicts with inferences of more frequent osteophagic behaviour in Tyrannosaurus as compared to other theropods. Orientation of wear features reveals a more pronounced bi‐directional puncture‐and‐pull feeding mode in Allosaurus than in tyrannosaurids. Our results further indicate ontogenetic niche shift in theropods and crocodylians, based on significantly larger height parameters in juvenile theropods which might indicate frequent scavenging, resulting in more bone–tooth contact during feeding. Overall, DMT is found to be very similar between theropods and extant large, broad‐snouted crocodylians and shows great similarity in feeding ecology of theropod apex predators throughout the Jurassic and Cretaceous. [ABSTRACT FROM AUTHOR]

Poly(3‐hexylthiophene), or P3HT, is a semicrystalline polymer with charge conduction anisotropy with respect to its different axes, which calls for gaining better control of texture for targeted device applications. A blend system of P3HT and [6,6]‐phenyl C61‐butyric acid methyl ester (PCBM) is studied for understanding the role of PCBM in texture control of P3HT crystallites. 2D grazing incidence diffraction (2D‐GIXD) combined with high resolution grazing incidence X‐ray diffraction (1D‐GIXD) is performed on thin films of pristine P3HT and blend (P3HT/PCBM) thin films prepared by spin coating. Thermal annealing at 110 °C is used for relaxing the films. The lamellar P3HT crystallites preferably orient along the surface plane with lamellar stacking in a vertical direction and have a distribution of orientation with a limiting angle of 44°. In the pristine P3HT system, the rotations of crystallites are confirmed by the retreat of the limiting angle. The observed intensity cross‐over for precursor and annealed samples is again the signature of the rotations of crystallites. For the blend system, the intensity cross‐over is absent and there is no sign of retreat of the limiting angle, which explicitly confirms the blocking of rotation lamellar crystallites. This study provides, for the first time, the clear evidence with unambiguous analysis of blocking of rotation of crystallites due to presence of PCBM, which is explained with an analogy of the "ball‐and‐stick" mechanism. Atomic force microscopy (AFM) studies of surface morphology correlates with the above findings. [ABSTRACT FROM AUTHOR]

To realize the automatic detection of cracks during the intelligent patrol in metro tunnels, this study presents a texture feature analysis-based crack detection scheme for metro tunnels. In the proposed scheme, several pre-processing operations such as erosion, contrast stretch and weighted neighborhood are firstly adopted to improve the quality of original scanned images. Then, the images are partitioned and the improved maximum between-cluster variance method is utilized for the partitioned areas so as to separate the cracks from the background images. Next, the texture feature analysis is leveraged to filter out incorrect crack information from the images. Afterwards, the images are thinned so as to obtain the corresponding skeleton images, and finally the automatic detection of cracks for metro tunnels can be realized. Furthermore, the experimental results demonstrate that the proposed scheme can efficiently and accurately detect the crack information for metro tunnels as well as automatically create labels for the crack areas, and the detection effect of the proposed scheme is significantly better than the existing schemes. [ABSTRACT FROM AUTHOR]

Background: People whose skin type is oily have experienced an esthetic and hygienic discomfort due to the excessive secretion of the sebum during the day and night time, and therefore sebum control is required. In this study, we aimed to find out whether the skin status between the oily and nonoily skin indicates a significant difference before and after sleep. Materials and methods: Forty Korean males and females whose skin type was oily or nonoily participated in this study. To investigate the difference of the skin between oily and nonoily skin before and after sleep, we measured the sebum, skin pore, texture, and redness on their cheek at baseline and after 4‐h sleep. Moreover, the significant level was determined at p < 0.05. Results: Parameters of sebum and skin pore significantly increased after 4‐h sleep compared with baseline in the oily and nonoily skin (p < 0.05). Moreover, the increment of sebum and pore parameters in the oily skin was significantly higher than those in the nonoily skin (p < 0.05). In the case of skin texture and redness, parameters of them were significantly changed after 4‐h sleep compared with baseline only in the oily skin (p < 0.05), and there was no significant difference among groups. Conclusions: We found that the change rates of the sebum secretion and skin pore in oily skin were significantly higher than those in nonoily skin after 4‐h sleep. These results suggest the necessity of the skin care depending on the skin type before sleeping. [ABSTRACT FROM AUTHOR]

Planetary-scale terrain requires streaming of world-scale high-resolution data sets in real time. High-performance streaming of world-scale data sets to achieve high mobility in terms of speed and view such as look-around, side-ways, or backward for high fidelity display systems is challenging. Moreover, streaming data sets without any preprocessing overhead require high-performance decompression and re-projection in real time. This work proposes a high-performance adaptive texture streaming system to capture high-speed scenes with view switching capability over a real-world terrain for high-fidelity display system. The system proposes multi-stage pipeline to stream multi-resolution data sets with a stable high-performance rendering rate. The proposed pipeline stages are asynchronously connected using request queues with a cache hierarchy. Efficient algorithms for resource management, prefetching and caching, prioritization of load requests, and hardware-accelerated processing are proposed for texture streaming without frame-rate stuttering. The proposed algorithms adapt to viewer navigation, display resolution, and dynamic execution environment. The proposed method is evaluated for complex scenes, mobility in terms of speed and view, and high-fidelity display. Our method achieved a ground-speed of 2.4 x 10 5 , 1.2 x 10 5 , and 9.0 x 10 4 km/h for HD (1024x720), FHD (1920x1080), and UHD (3840x2160) display resolutions respectively with a stable frame rate of 850, 590, and 420 frames per second. [ABSTRACT FROM AUTHOR]

“Camouflage” is a natural or nature identical phenomenon where the sensory route of vision is delayed to avoid visual detection. Reducing detection capability and hiding in the background environment is critical for Army vehicles, equipment, and soldiers. This research aims to implement a process that will generate digital camouflage patterns specific to the terrain. The adapted digital pattern helps an object blend symmetrically into the background environment. Pixelated textures combine macro and micro designs that blend with ambient shrubs, trees, branches, and shadows. The technique presented in this paper consists of the following main modules: terrain classification model, pixelated camouflage texture generation, and texture evaluation. Experiments have been conducted to detect camouflage objects in the scene to evaluate the performance of the resultant camouflage texture generated for a natural environment. Photo simulation and saliency maps for hidden object detection have been used to evaluate the effectiveness of generated textures for a given terrain. [ABSTRACT FROM AUTHOR]

During the present study, a double groove texture was designed on the surface of a piston ring to improve the sealing performance between the piston ring and cylinder liner. The experimental design method was used to fabricate the test plan according to the groove width, depth, and spacing. By using the thermal–structural coupling analysis method, the finite element analysis of the standard piston ring and the textured piston ring was carried out to simulate the deformation state of the cylinder liner system of the piston ring group during the working stroke. The piston rings with different parameters designed by the test scheme were manufactured by wire electrical discharge machining, and the self-made experiment device carried out the sealing test. The results showed that the groove texture could improve the sealing performance of the piston ring, and the analyzed results demonstrated that the groove texture had little effect on the maximum deformation of the piston ring. Still, it could significantly reduce the minimum deformation of the piston ring group. A piston ring with groove texture would improve the sealing performance and reduce the deformation during the work stroke. During the test, the average deformation of the No.7 piston ring group, with a groove depth of 1 mm, a groove width of 0.5 mm, and a groove spacing of 0.1 mm, was the smallest, about 29.6% lower than that of the standard piston ring group. The sealing performance of the No.7 piston ring group was the best, and the reduction rate of the top gas leakage rate was 52.18%. During the present study, the sealing performance of the piston ring was improved by designing the grooved structure on the piston ring surface, thereby improving the fuel economy and power performance of the engine. The present study could provide a reference for the engineering field to design a piston ring with high sealing performance. [ABSTRACT FROM AUTHOR]

Adding two‐dimensional (2D) textures to garment line drawings (e.g., cartoon characters) remains challenging in the production pipeline of comics and illustrations since garment line drawings often have self‐occluded wrinkles. Although several techniques that can automatically deform and map 2D texture patterns to 2D line drawings have been proposed, their qualities are insufficient for representing 3D‐like realistic garment designs and manual editing of UV coordinates, which is labor‐intensive. In this article, we introduce an interactive tool to efficiently edit UV coordinates of 2D garment line drawings on the modeling panel with curve and point handles. Our algorithm is simple to integrate into existing image authoring tools. We conduct a user study with novice users and confirm that the proposed tool can effectively handle texture mapping envisioned by the users. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Motivating investment in predisaster mitigation requires accurate estimates of natural hazard risks. The present tools for loss estimation overlook building-level variations in wind loading induced by the configuration of surrounding buildings, called neighborhood texture. In doing so, such tools underestimate expected wind-related losses and undervalue wind mitigation. In this paper, texture effects are incorporated into a widely recognized loss estimation framework and applied to a case study of the residential building stock in Florida, with a focus on five densely populated counties representing a range of hazard exposures. For this study, each building is individually assessed for its prevailing local texture, and its occupancy and building characteristics are probabilistically assigned based on current census data. Mitigation measures considered include shutters, straps, and tie downs. Even accounting for more than a third of homes already having these mitigation measures, the model results suggest that implementing them would yield annualized benefits of $4.3 billion statewide ranging from $136 per household in Duval County to $1,950 per household in Miami-Dade County (respectively 100% and 90% higher than conventional estimates). [ABSTRACT FROM AUTHOR]

The research object of this paper is the common oriented silicon steel (CGO) with Si content of 3.1%. The magneto-thermal coupling processing device independently developed was used to conduct laboratory studies on magneto-thermal coupling decarburization annealing, magneto-thermal coupling high temperature pre-annealing and magneto-thermal coupling tensile leveling annealing. The microstructure and macroscopic texture of CGO steel after magneto-thermal coupling treatment were measured by Zeiss microscope and X-ray diffrotometer, and compared with the samples after conventional annealing process. The results show that the magneto-thermal coupling treatment at the decarburization annealing stage can promote the distribution of ferritic grains along the magnetic field direction. The cubic texture {001}<100> with high level fault energy and {111}＜112＞ texture also increases. In the high temperature pretreatment stage, the increase of {111}＜112＞ texture is more obvious after magnetic-thermal coupling treatment. The deviation angle of goss-oriented grain decreases after magneto-thermal coupling treatment in tensile leveling stage. The magneto-thermal coupling effect plays a positive role in the microstructure and texture of CGO steel during decarburization annealing, high temperature pre-annealing and tensile leveling annealing. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Food products often consist of several phases. Comminuted meat products, for example, are multiphase systems consisting of structured meat particles and unstructured batter-like substance. To develop and understand the processing of these products, it is important to understand the sensory and mechanical perception principles. To this end, two-phase food prototypes consisting of mixtures of ground beef and beef batter were prepared and subjected to sensory, texture, and oral processing analysis. The oral processing analysis focused on the biomechanical data of the chewing process, namely the kinematics of jaw movement and electromyographic activity. The ground meat served as the anisotropic phase and the meat dough as the isotropic phase. A significant increase in muscle activity, duration per bite, and occlusion time with increasing proportion of fibrous particles was demonstrated (p < 0.05). In contrast, a higher proportion of isotropic substance resulted in significantly higher amplitudes of jaw movement and faster jaw kinetics (p < 0.05). In mixed regimes, the system responded mainly according to the dominant phase, with sensory or mechanical response changing at a critical point. In combination with texture and sensory data, a holistic characterization of the food models could be performed. [ABSTRACT FROM AUTHOR]

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Texture synthesis technology is an important realistic rendering technology. Texture synthesis technology also has a good application prospect in image rendering and other fields. Convolutional neural network is a very popular technology in recent years. Convolutional neural network model can learn the features in data and realize intelligent processing through the feature learning in data. Later, with the rapid improvement of convolutional neural network, texture synthesis technology based on neural network came into being. The purpose of this paper is to study the texture synthesis method of ecological plant protection image based on convolutional neural network. By studying the context and research implications, the definition of textures as well as texture synthesis methods, convolutional neural networks, and based on convolutional neural network. In the experiment, the experimental environment is established, and the subjective evaluation and objective evaluation of the image texture synthesis method experiment are investigated and studied by using swap algorithm. The experimental results show that the method used in this paper is superior to other methods. [ABSTRACT FROM AUTHOR]

3D building model is an important part of 3D GIS. However, with the rapid development of data acquisition technology, the data volume of the 3D building model has increased dramatically. Levels of detail (LOD) technology determines the resource allocation for object rendering based on the position (Screen Size) and importance of the nodes of the model in the display environment, reducing the model's volume and thus obtaining efficient rendering computations. To ensure the smooth rendering and efficient loading of 3D building models, it is essential to simplify the 3D building models to generate LOD. By taking the texture discontinuity and topological complexity into account, this paper proposes a quadratic error metric mesh simplification algorithm based on "local-vertex" texture features for 3D building models simplification. Using the texture features of the model texture map and the vertex curvature at local vertices, we increase the edge collapse cost of the model in the rich texture areas. After each simplification operation, we use centre of gravity coordinate method to optimize the texture coordinates to preserve the model's detailed features and topological relationships. A series of experimental comparisons with other state-of-the-art methods verify the effectiveness of the proposed method for simplifying 3D building models. The method in this paper helps to maintain the detailed features and topological relationships of 3D building models while reducing the volume of model and better generating LOD for application in 3D GIS. [ABSTRACT FROM AUTHOR]

We study video inpainting, which aims to recover realistic textures from damaged frames. Recent progress has been made by taking other frames as references so that relevant textures can be transferred to damaged frames. However, existing video inpainting approaches neglect the ability of themodel to extract information and reconstruct the content, resulting in the inability to reconstruct the textures that should be transferred accurately. In this paper, we propose a novel and effective spatial-temporal texture transformer network (STTTN) for video inpainting. STTTN consists of six closely related modules optimized for video inpainting tasks: feature similarity measure for more accurate frame pre-repair, an encoder with strong information extraction ability, embedding module for finding a correlation, coarse low-frequency feature transfer, refinement high-frequency feature transfer, and decoder with accurate content reconstruction ability. Such a design encourages joint feature learning across the input and reference frames. To demonstrate the advancedness and effectiveness of the proposed model, we conduct comprehensive ablation learning and qualitative and quantitative experiments on multiple datasets by using standard stationary masks and more realistic moving object masks. The excellent experimental results demonstrate the authenticity and reliability of the STTTN. [ABSTRACT FROM AUTHOR]

Aim: Classification of flower species based on innovative flower texture to improve accuracy of classifier using linear regression and comparing with SVM algorithm. Methods and Materials: Flower species recognition is performed using Linear Regression (N=10) over SVM (N=10) with the split size of training and testing dataset 70% and 30% respectively. Calculation of samples is done by using G power of 80% which contains two different groups, alpha (0.05), power (80%) and environment ratio 1. Results: Linear Regression has significantly better accuracy (95.9%) compared to SVM (93.3%) and attained significance value of p = 0.01. Conclusion: Linear regression achieved significantly better flower recognition than SVM for identifying the different types of flower species. [ABSTRACT FROM AUTHOR]

Purpose: The noninvasive monitoring of mild hyperthermia or thermal ablation is important to guarantee therapeutic safety and efficacy. The potential of ultrasound B-mode image texture features in monitoring temperature or coagulation zones studied in this article. Materials and methods: The experiments carried out on eighteen in vitro porcine liver samples heated from 20°C to 60°C in the water bath. The ultrasound radiofrequency signal at different temperature collected to reconstruct B-mode ultrasound images. The texture features based on gray level histogram (GLH), gray level co-occurrence matrix (GLCM), and gray level-gradient co-occurrence matrix (GGCM) extracted, respectively. Accordingly, we analyze the correlations between these texture features and temperature based on the experiment results. Results: The results showed that five texture feature parameters closely related to temperature, including mean gray scale of GLH, homogeneity of GLCM, hybrid entropy, inverse difference moment, and correlation of GGCM. Some of these feature parameters have correlation coefficients larger than 0.9 within the temperature range of 20°C to 60°C. Conclusions: The above-mentioned five feature parameters expected to apply for noninvasive monitoring of MH or TA. [ABSTRACT FROM AUTHOR]

As one of the most important elements of a control loop, control valves are essential assets to the plant because they ensure the high quality of products, as well as the safety of personnel and equipment (Abbasi et al. in J Hydrol, 597:125717, 2021). Unfortunately, control valves tend to suffer from many issues, and stiction is one of the long-standing faults that results in oscillations in important process variables which are highly undesirable. In the present work, unthresholded recurrence plots and texture analysis previously developed for mining industry (Kok et al. in IFAC-PapersOnLine 52:36-41, 2019) is applied to diagnose stiction in process control loops. Texture features are extracted from distance matrices derived from typical control-loop OP-PV data generated from a valve stiction model. A neural network model is then trained based on the extracted features. The optimised classification model is then applied in industrial control loops to identify the presence of stiction. The results from 78 benchmark industrial loops with varying faulty issues show a comparable performance with the recent methods reported in the literature. [ABSTRACT FROM AUTHOR]

Dynamic textures are time-varying motion patterns that exhibit certain temporal stationarity. The motion of such patterns is usually anisotropic, which is a great challenge for video coding. In this paper, we firstly analyze the predictive and temporal characteristics of dynamic textures and, based on the analysis, a pixel-level segmentation-synthesis framework for dynamic texture compression is proposed to improve predictive-coding efficiency. This framework consists of three sub-modules: dynamic texture segmentation, dynamic texture synthesis and fusion process. A deep-learning-based segmentation method is introduced to obtain a pixel-level mask. Subsequently, optical flow fields are used to generate flowlines and help analyze the motion periodicity of a given sequence. The flowlines and period values are utilized as inputs for flow-based dynamic texture synthesis. The segmented dynamic texture area is then reconstructed using the synthesized results at the decoder side at pixel-level, such that the overhead for transmitting these contents could be saved. The segmented mask is transmitted through an All-Zero-Run-Length coding algorithm and an effective fusion module is further proposed to reduce edge artifacts that occur at the boundary of dynamic texture areas. Coding blocks have been classified into three types and a weighting reconstruction scheme is performed. The proposed framework has been integrated into VTM-10.0. Experimental results on a collected dynamic texture test set demonstrate that 15.1% and 16.1% MOS BD-rate savings can be achieved on average for LDB and LDP configurations, respectively. [ABSTRACT FROM AUTHOR]

It has been recognized that texture patterns with abundant high-frequency components, such as grass and water, produce visual masking effects, and the distortion in textures is hard to be perceived by human eyes than structure regions. However, modern video codecs in a rate-distortion optimized manner usually consume a lot of bits to encode textures, leading to the insufficiency in perceptual coding performance. Nowadays, with the rapid development of deep learning, learning based texture synthesis methods have been proposed to replace the coding process of prediction residuals to reduce the rate cost. In this paper, we present a deep texture synthesizer named edge-based texture synthesis framework (ETSF). At encoder side, the framework detects texture regions by semantic and fidelity classification criteria, and the detected regions are quantized coarsely by the hybrid coding framework. In texture characterization, ETSF extracts low-level edge features representing pixel intensity variation. Feature processing tools are developed to remove the spatiotemporal redundancy of edges. The processed edge information is compressed and transmitted. To effectively recover textures, we design an edge-based texture synthesis generative adversarial network (ETSGAN) at the decoder of ETSF, which can incorporate edge information into convolutional layers and generate realistic textures. Experimental results on a collected texture dataset show that the proposed ETSF can achieve an average of -12.8%, -14.2% and -9.6% MOS BD-rate under lowdelay_B, lowdelay_P and random_access configurations of VVC coding, respectively. [ABSTRACT FROM AUTHOR]

An original multifractal algorithm is proposed for calculating the fractal characteristics of the cluster texture of biopolymer-inorganic (BIN) composites from microphotographic images (MPIs) of their texture, which allows one to determine the quantitative dependence of the mechanical properties of biopolymer–inorganic composites on the characteristics of their cluster texture. As a result of the studies conducted on the MPI texture of the "chitosan-silicon dioxide" BIN composites using a multifractal algorithm, it was found that such important indicators as strength and plasticity can be quantitatively described using generalized fractal pixel dimensions of MPI samples of the BIN composite. It was established that when the amount of silicon dioxide in the samples of the BIN composite changes, the mechanical characteristics of the BIN composites, such as strength and plasticity, can be quantitatively described using generalized fractal pixel dimensions of the MPIs of the BIN composite samples. [ABSTRACT FROM AUTHOR]

In this paper, we propose a method for inpainting regular textures composed of oriented patterns and completion of images distorted by long stripes. We have developed a model fit to describe a regular texture as a sum of a few ridge functions. The ridge functions are known in tomography as a result of a back-projection operator applied to projections, or samples of the Radon transform. A computational scheme for the singular value decomposition of a regular texture into the sum of informative ridge functions is presented. The numerical experiments on various images demonstrate the efficiency of the techniques proposed. [ABSTRACT FROM AUTHOR]

In this research effects of heat treatment duration on the electrical properties (zeta potential and conductivity), texture and color of polymerized whey protein (PWP) were analyzed. Whey protein solutions were heated for 30 min to obtain single-heated polymerized whey protein (SPWP). After cooling to room temperature, the process was repeated to obtain double-heated polymerized whey protein (DPWP). The largest agglomeration was demonstrated after 10 min of single-heating (zeta potential recorded as −13.3 mV). Single-heating decreased conductivity by 68% and the next heating cycle by 54%. As the heating time increased, there was a significant increase in the firmness of the heated solutions. Zeta potential of the polymerized whey protein correlated with firmness, consistency, and index of viscosity, the latter of which was higher when the zeta potential (r = 0.544) and particle size (r = 0.567) increased. However, there was no correlation between zeta potential and color. This research has implications for future use of PWP in the dairy industry to improve the syneretic, textural, and sensory properties of dairy products. [ABSTRACT FROM AUTHOR]

Decomposition of an image into cartoon and texture components is frequently used in many image processing applications. Here, the cartoon component has been characterized by the frequently used total variation norm. However, it becomes very challenging to obtain the texture component due to the varying nature of the texture. In general, the texture component has oscillatory behavior locally or globally. Owing to this oscillatory behavior, the texture component has been characterized via low-rank regularization which is widely used to extract texture component from the image. In the works reported till now, convex nuclear norm has been frequently used as a surrogate of the matrix rank, which is suboptimal because of shrinking each singular value equally, while the non-convex surrogate of the rank treats each singular value adaptively. In this paper, we are introducing a new tightest non-convex surrogate of the rank that assigns different weights to each singular value. The new non-convex image decomposition minimization model provides us cartoon and texture components by minimizing the total variation norm and non-convex function simultaneously. This model can also work best for many image restoration problems such as image deblurring and inpainting. The conventional alternating direction method of multiplier (ADMM) has been exploited as the solver of the non-convex minimization model. The proposed model works well on both globally patterned and natural images. In the experimental section, we demonstrate the outperformance of the proposed model over the state-of-the-art methods. [ABSTRACT FROM AUTHOR]

To curb fitness costs associated with obligate avian brood parasitism, some hosts have evolved to reject foreign eggs in the nest. American robins (Turdus migratorius) are among the few hosts of the brown-headed cowbird (Molothrus ater) that mostly remove parasitic eggs from their nests. With the parasite's eggs looking nothing like their own, American robins likely rely most on visual cues when making rejection decisions. However, we still know little about the roles that tactile and olfactory cues play in robin's or other rejecter hosts' rejection decisions. Here, we conducted a set of experiments to test for the use of tactile or olfactory cues in egg rejection by robins. For the tactile experiment, we found that robins were more likely to reject rough rather than smooth eggs. However, our tactile model egg design was not able to fully discriminate between tactile and visual sensory modalities. In the olfaction experiment, we did not find a significant effect of egg scent treatment on rejection rates. Accordingly, future studies on egg rejection should attempt to fully distinguish between tactile and visual cues, as well as examine olfactory cues in other egg rejecter host species. [ABSTRACT FROM AUTHOR]

As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses computer algorithms to render a photo into an artistic painting. Recent work has shown that the ex-traction of style information such as stroke texture and color of the target style image is the key to image stylization. Given its stroke texture and color characteristics, a new stroke rendering method is proposed. By fully considering the tonal characteristics and the representative color of the original oil painting, it can fit the tone of the original oil painting image into a stylized image whilst keeping the artist's creative effect. The experiments have validated the efficacy of the proposed model in comparison to three state-of-the-arts. This method would be more suitable for the works of pointillism painters with a relatively uniform style, especially for natural scenes, otherwise, the results can be less satisfactory. [ABSTRACT FROM AUTHOR]

We introduce a proper notion of two-dimensional signature for images. This object is inspired by the so-called rough paths theory, and it captures many essential features of a two-dimensional object such as an image. It thus serves as a low-dimensional feature for pattern classification. Here, we implement a simple procedure for texture classification. In this context, we show that a low-dimensional set of features based on signatures produces an excellent accuracy. [ABSTRACT FROM AUTHOR]

Among the benefits which vacuum impregnation (VI) may provide to fruits and vegetables, this study focused on weight and texture changes during the processing of table olives. VI applied to Manzanilla olives led to around 10% weight gain, which was maintained after their packing as black olives. However, this weight gain was only around 4 % for Hojiblanca olives. Likewise, the use of calcium chloride was recommended to maintain the firmness of the olives, in particular those of the softer Manzanilla cultivar. With regard to the Spanish-style, the Hojiblanca cultivar achieved around 4% weight gain during processing but the use of VI for Manzanilla olives was ruled out due to softening of the fruit. In addition. the black and green color of olives and their flavor were not modified by the application of VI. This technology could be very useful to reduce weight loss during table olive processing. [ABSTRACT FROM AUTHOR]

Background: Non-ablative fractional laser treatments for improving skin tone and rejuvenation have become increasingly popular due to short downtime and fewer side effects compared to ablative treatments.Objective: We sought to determine the efficacy of a non-ablative 1540-nm fractional erbium: glass laser in improving skin roughness and skin texture.Methods: The forehead, cheek, and nasal areas of 15 patients were treated for five monthly sessions using a 7x7 pixel tip (1.21cm2 affective area, approximately 300 microns diameter per pixel), fluence of 2,500 to 3,000 mJ/pulse (40-62 mJ/Pixel), and three stacked pulses were emitted at a rate of 1Hz for three passes per treatment session. Measurements of skin roughness, skin roughness area, and maximum skin depth were collected using a 3D imaging system. Improvement in skin parameters was calculated by comparing the measurements prior to treatment and 12 weeks after completion.Results: All 15 patients showed significant improvement in all three measured parameters (p<0.001) with no significant side effects.Limitations: The limitations of this study include the small number of patients and the narrow range of skin tone (Fitzpatrick Skin Types II-IV).Conclusion: Our results suggest that monthly treatments with a non-ablative 1540-nm fractional Erbium:glass laser appear to be safe and effective for skin texture and roughness. [ABSTRACT FROM AUTHOR]

Facial expressions play a very important role in creating a vivid and realistic virtual character. This paper proposes a convolutional neural network‐based facial expression retargeting framework named EXPUV‐Net, which can extract expression information from an image and transfer it to a specified 3D face. With the help of the nonlinear generator, the proposed framework can generate rich facial expressions and does not rely on the blendshape model. A data augmentation approach is adopted in this paper, which can improve the adaptability of the proposed framework. The framework can realize expression retargeting for face models with different topologies. This paper also demonstrates the effectiveness of the proposed framework through some experiments and compares it with some linear face model‐based methods for facial component extraction and face reconstruction. The results show that the proposed framework has better performance than the linear methods. The proposed framework is very helpful for facial expression generation for virtual characters. [ABSTRACT FROM AUTHOR]

With the evolution of the renewal concept and protection mode of dwellings in ancient city in the new era, the guidelines for the renovation of dwellings compiled in the past have shown obvious limitations of the times. Its compilation form is too simple, and the content is slightly insufficient, and it is difficult to scientifically guide the high-standard renovation of traditional dwellings in the new era. In the compilation of the Technical Guidelines for Renovation of Yangzhou Traditional Dwellings, the core concept is "continuing the style and texture of the ancient city, inheriting the construction technology of private houses, and integrating innovative renovation techniques", and an overall framework for integrating the technical guidelines for renovation of traditional dwellings in "new era and new concept" is proposed. The classification guidance standards for different types of traditional dwellings and their surrounding ancillary environment are formulated, and the corresponding renovation plans of traditional dwellings are systematically drawn as supplementary guidance documents for the relevant classification guidance standards. [ABSTRACT FROM AUTHOR]

Breast cancer is defined as a deadly disease, and it is the major cause of the increased mortality rate of women. Mammography is the main method for breast cancer diagnosis. Even in this era, the early diagnosis of breast cancer using mammogram images is a complex task. Deep learning approaches have demonstrated good applicability for diverse databases. In this line, this paper intends to propose a deep learning-based breast cancer detection model with the inclusion of steps like (i) pre-processing (ii) segmentation (iii) feature extraction (iv) classification. The preprocessing is carried out via CLAHE and the median filtering model. Subsequently, the pre-processed images are segmented using Fuzzy C-means clustering (FCM). In the feature extraction process, the wavelet and texture features are extracted from the segmented image with respect to DWT and GLCM features, respectively. Finally, the extracted features are subjected to a classification process via optimized Generative Adversarial Networks (GAN) classifier. Further, the weight of GAN will be fine-tuned via a new hybrid optimization model referred to as Tunicate Adopted Moth Flame (TAMF) algorithm. This tuning process enhances the network training to determine accurate classification results. The output gets the differentiated benign and malignant types. [ABSTRACT FROM AUTHOR]

Homography estimation is a basic and important step in many computer vision tasks. Traditional homography estimation methods are based on feature point matching, which are difficult to work in weak texture images. Deep learning has been applied to homography estimation to improve its robustness, but the existing methods do not consider the multi-scale problem caused by object scale differences, resulting in limited accuracy. To solve the above problems, this paper proposes a multi-scale residual network for homography estimation. The network can extract the multi-scale feature of the image, and used the Multi-Scale Feature Fusion Module to effectively fuse the features. In addition, it further reduced the difficulty of network optimization by estimating the four-corner normalized offset. Experiments on MS-COCO dataset showed that the average corner error of this method was only 0.788 pixels, which achieved sub-pixel accuracy, and can maintain high accuracy in 99% of cases. Due to the comprehensive utilization of multi-scale features and easier to optimize, this method had significantly improved accuracy and stronger robustness. [ABSTRACT FROM AUTHOR]

To achieve enhanced accuracy of fabric representation and defect detection, an innovative approach using a sparse dictionary with small patches was used for fabric texture characterisation. The effectiveness of the algorithm proposed was tested through comprehensive characterisation by studying eight weave patterns: plain, twill, weft satin, warp satin, basket, honeycomb, compound twill, and diamond twill and detecting fabric defects. Firstly, the main parameters such as dictionary size, patch size, and cardinality T were optimised, and then 40 defect-free fabric samples were characterised by the algorithm proposed. Subsequently, the impact of the weave pattern was investigated based on the representation result and texture structure. Finally, defective fabrics were detected. The algorithm proposed is an alternative simple and scalable method to characterise fabric texture and detect textile defects in a single step without extracting features or prior information. [ABSTRACT FROM AUTHOR]

The intrinsic features of documents, such as paper color, texture, aging, translucency, the kind of printing, typing or handwriting, etc., are important with regard to how to process and enhance their image. Image binarization is the process of producing a monochromatic image having its color version as input. It is a key step in the document processing pipeline. The recent Quality-Time Binarization Competitions for documents have shown that no binarization algorithm is good for any kind of document image. This paper uses a sample of the texture of the scanned historical documents as the main document feature to select which of the 63 widely used algorithms, using five different versions of the input images, totaling 315 document image-binarization schemes, provides a reasonable quality-time trade-off. [ABSTRACT FROM AUTHOR]

The study explored a deep learning image super-resolution approach which is commonly used in face recognition, video perception and other fields. These generative adversarial networks usually have high-frequency texture details. The relevant textures of high-resolution images could be transferred as reference images to low-resolution images. The latest existing methods use transformer ideas to transfer related textures to low-resolution images, but there are still some problems with channel learning and detailed textures. Therefore, the study proposed an enhanced texture transformer network (ETTN) to improve the channel learning ability and details of the texture. It could learn the corresponding structural information of high-resolution texture images and convert it into low-resolution texture images. Through this, finding the feature map can change the exact feature of images and improve the learning ability between channels. We then used multi-scale feature integration (MSFI) to further enhance the effect of fusion and achieved different degrees of texture restoration. The experimental results show that the model has a good resolution enhancement effect on texture transformers. In different datasets, the peak signal to noise ratio (PSNR) and structural similarity (SSIM) were improved by 0.1–0.5 dB and 0.02, respectively. [ABSTRACT FROM AUTHOR]

Three-dimensional (3D) reconstruction techniques are playing an increasingly important role in education and entertainment. Real and recognizable avatars can enhance the immersion and interactivity of virtual systems. In 3D face modeling technology, face texture carries vital face recognition information. Therefore, this study proposes a panoramic 3D face texture generation method for 3D face reconstruction from a single 2D face image based on a 3D Morphable model (3DMM). Realistic and comprehensive panoramic facial textures can be obtained using generative networks as texture converters. Furthermore, we propose a low-cost method for generating face texture datasets for data collection. Experimental results show that the proposed method can generate panoramic face textures for 3D face meshes from a single image input, resulting in the final generation of textured 3D models that look realistic from different viewpoints. [ABSTRACT FROM AUTHOR]

Since the mid-2000 s, longitudinal tinning has been applied to concrete pavements of expressways to improve the comfort and safety of road vehicle users. However, in certain longitudinal tinning sections, lateral vibrations occur during driving, which poses a safety hazard. This paper analyzes the cause behind this problem and proposes a longitudinal texturing specification that can minimize lateral vibration. To perform this analysis, the accelerations of driving vehicles and the degree of lateral vibration transmitted to panels in the vehicles were evaluated for each longitudinal texture applied in South Korea. Structural analysis was also conducted for the lateral force and moment according to the tire tread profile and longitudinal texturing specifications using the finite element method. In addition, field investigation, indoor drivability evaluation, and field application were performed to evaluate the optimal longitudinal texturing specification. The results indicate that the texture designated as 2 × 3 × 19 mm is the optimal longitudinal texture on hardened concrete pavement. However, because this specification is difficult to apply to fresh concrete, 3 × 3 × 16 mm is proposed as the optimal longitudinal texture owing to its excellent performance in the panel survey and in structural analysis. [ABSTRACT FROM AUTHOR]