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Aiming at the fuzzy operation commonly used in image tampering,a new fuzzy detection scheme using smooth filter preserving edges and mathematical morphological methods was studied.By using the sharpening function and denoising function of both methods,tampering and location of tampering position can be pointed out without embedding information such as watermarking technique.The method can not only determine whether an image has been virtualized,but also detect the extent of the image blur.Experimental results confirm the effectiveness of the scheme.

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This paper presents a novel feature extraction method for remote sensing imagery based on the cooperation of multiple ant colonies. First, multiresolution expression of the input remote sensing imagery is created, and two different ant colonies are spread on different resolution images. The ant colony in the low-resolution image uses phase congruency as the inspiration information, whereas that in the high-resolution image uses gradient magnitude. The two ant colonies cooperate to detect features in the image by sharing the same pheromone matrix. Finally, the image features are extracted on the basis of the pheromone matrix threshold. Because a substantial amount of information in the input image is used as inspiration information of the ant colonies, the proposed method shows higher intelligence and acquires more complete and meaningful image features than those of other simple edge detectors.

Copyright of Journal of Image & Graphics is the property of Editorial Office of Journal of Image & Graphics 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.)

Based on the earthquake network of the time-space influence domain, the topology of seismicity around the main shock was analyzed for the network's dynamic behaviors. It was found that the scale and the entropy were small while the modularity was big before the main shock; the scale increased greatly, the entropy jumped to a high value and the modularity reached a minimum value after the main shock. Meanwhile, the multi-parameter evolution of the topology of seismicity in 1992 was analyzed, whose results showed that the earthquake network exhibited a inner dynamic behavior. In addition, the modularity took a maximum value, the entropy had a minimum value, and they presented good negative correlation. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays 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.)

Based on region transformation and RF(recursive filtering) filter, this paper proposed a method of editing propagation to deal with the problems of computational inefficiency and edge-instability, which arised from the coloring involved in high-resolution image or video. The region transformation served as an image-smoothing operation to make global optimization more efficient. The RF filter played crucial role to keep edge-stability by its infinite impulse response throughout the given image. At last, the proposed method gave a final result via the composite image, which was generated by the initial impulse image and the fine coloring impulse image, in accord with the user-specific stroke editing. Along with low computational complexity, the results of experiments demonstrate both efficiency, great interactivity, high-speed rendering and edge stability of the method employed in the segmentation of high-resolution images, the extraction of edges and real-time video processing. As future work, the paper finally put forward the problem of the real-time video processing with too many strokes. [ABSTRACT FROM AUTHOR]

Community detection is the key problem in studying complex network structure. An overlapping community detection algorithm SAEC based on edges is proposed based on the analysis of those existing means. The SAEC algorithm regards the community as a set of edges, defines the edge similarity and obtains the transition probability matrix. Using spectral clustering method, the number of communities is automatically determined by calculating the eigenvalues and eigenvectors of the transition probability matrix. Then, the overlapping community detection is completed by K-means algorithm. The effectiveness of the algorithm is verified by randomly generated test networks and real networks. [ABSTRACT FROM AUTHOR]

To lessen the accuracy demand of traditional motion area division methods, a motion segmentation algorithm based on normal component of optical flow is proposed. Edge-discriminating same area decision function is used to give out the relevance measurement between each edge point and its surrounding area, which is the base for further clustering. Simulation on both synthesized and real image sequences was made. It is proved that under appropriate selection of parameters, the novel algorithm can give correct division result. Moreover, compared to those methods using complete optical flow vector, the new method costs less time because that only normal component of the edge point' optical flow is evolved in the algorithm. [ABSTRACT FROM AUTHOR]