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Along with the developing of digital image processing technology, there are more and more applications of digital images in the field of automation. However, during the process of the imaging, acquisition and transmission, digital images are often degraded due to the noise and other external environmental influence. This eventually leads to quite a lot of difficulties for the application of these degraded images in actual automation production. In a total variation (TV) minimization framework, the novel algorithm is designed to establish a connection between an alternating minimization method and half-quadratic regularization for color images reconstruction. Our contributions are threefold. Firstly, the novel algorithm uses the idea of a new bisection which shows a strong convergence while preserving texture details. Secondly, the proposed algorithm is able to determine optimal value of the regularization parameter automatically and converges with the speed of $2^{k}$ . Lastly, our approach is quite general and has strong adaptation and robustness ability during the process of color image reconstruction.

In the transportation system, automatic vehicle license plate recognition technology has become very important. Although the feature extraction technology has made the license plate recognition system mature, there are still some shortcomings, such as poor effi-ciency and accuracy. In this paper, the images taken by the camera are processed by MATLAB to recognize the license plates with different background colors. In tra-ditlona license plate recognition system, the threshold value is often set by experience. In this paper, dynamic threshold and adaptive thiesheld segmentation will be used to process the input photos so that they can be applied to most environments and can improve the accuracy and timeliness of the recognition. This paper uses MATLAB to simulate the algorithm and compares it with the existing algorithms. Their results are given in this paper.

This article analyses key technology used by network layer based on ZigBee technology. Then a reconfigure network as well as its strategy of forming network and distributing node is given. The simulation proved that the stability of reconfigure network and the ability of transmitting pass through obstacle are better than tradi-tional network; it has an active significance for shorter delay because of the flexible of the improved forming network strategy.

The network data acquisition is developed based on the Cortex-M3 core, embedded real-time multi-tasking operating system uC/OSII and graphics support software uC/GUI, implement integration of intelligent gateway and portable data acquisition. Configurations of intelligent gateway and portable data collector avoid the involvement of the PC makes the configuration easier and faster. When used as an intelligent gateway, it can achieve the conversion of the Modbus protocol, CAN bus protocol as well as the Ethernet protocol, and can be achieved in determining an input bus protocol under the premise of two other bus protocols output function; when used as a portable data collector, through infrared wireless communication real-timed collect the industrial data and the data is stored in the storage device, real-time data can be displayed via text or curves. The network data acquisition achieved a variety of field bus protocols to coexist with an industrial site, through the choice of the function can easily and quickly switch between the intelligent gateway and portable data acquisition.

Wrinkles are the typical paper defects that usually appear in paper production. Because wrinkle has line patterns in paper image, it can be detected through Hough Transform (HT) based methods. Among those methods, Standard Hough Transform (SHT) is a robust line detection approach, but the long time computation handicaps its application in real-time detection. Progressive Probabilistic Hough Transform (PPHT) is the improved version of SHT, however, when it is used for the images with heavy noise, the accuracy rate of detection is not high. In order to apply HT-based methods to real-time detection system and accomplish high detection performance as well, this paper proposes two improvements in PPHT, including segment-weighted voting and density-based segment filtering. The experiments on real paper images with wrinkles demonstrate that the improved PPHT is valid and the detection performance is much better than the traditional PPHT.

Wireless sensor network is a revolution of information collection and perception field, which has been draw much more application gradually. However, The WSN with characteristic of self-organization, multi-hop, dynamic topology and limited energy resources, which make the network to prolong it's lifetime become extremely difficult. This paper analyzed variety multicast protocols in existence and the current achievements in the research based on a comprehensive studying of a mess of multicast routing protocols. This document provided the appropriate application environment for types of multicast protocols and the specific improvements. It has an active significance for WSN to increase it's performance in the near future.

To access the batteries information in the process of charge and discharge in time, the article designed a monitoring system for the condition of storage batteries based on ZigBee. This approach used the chip of CC2430, which was integrated of AD converter, 8-bit strengthened MCU and wireless RF unit. The chip of CC2430 and the external circuits were made up the node of the star network. The temperature, voltage, and electric current informations will be collected and sent to the host computer by the RS232 serial port. It changed the traditional battery test in which cable connections are absolutely necessary. The system works stably and has features on low power consumption, high accuracy, high flexibility.

This article gives analysis AODVjr Routing Protocol used by Zigbee technology based on IEEE802.15.4 standard in detail. It supposed to carry out routing across bad node in the use of local repair mechanism of AODVjr routing protocol. The simulation proved that the improved routing protocol shortened the time to repair the break communication link; it has an active significance for shorter delay because of the shorting of the repair time.

In the analysis of pulp fibre, the characteristics of pulp fibre are important parameters in papermaking industry. In this paper, the curvelet transform and skeleton tracing method based on preferential direction were introduced to analyze the paper pulp fibre images. The curvelet transform was developed based on the Fourier transform, wavelet transform and radon transform. It has overcome some limitations of wavelet in representing orientations of edges in images. The theory and implementation of curvelet transform were summarized. In this paper, the curvelet transform was used to analyze the pulp fibre images, and the different characteristics of each fibre were extracted to disjoin the intersect fibres; the crossed or furcated fibres were distinguished by the width information. Experiment results showed that the proposed algorithm obtained perfect effects in the analysis of pulp fibre images.

The Curvelet transform has received more and more attention in recent years due to its unique characteristics. This new mathematic transform is based on the Fourier transform, wavelet transform and radon transform. It has overcome some limitations of wavelet in representing orientations of edges in image. The theory and implementation of Curvelet transform is summarized. Its representative applications are introduced in view of their corresponding characteristics compared with other prevailing techniques. Finally, we introduced the curvelet transform in the analysis of paper pulp fibre images. In order to detect the morphologic parameter of the pulp fibres, first we need to disjoin the intersect fibres. The image processing algorithm is proposed to extract the characteristics of the collected fibre, which can be done after image denoising, enhancement and edge detection. We use the curvelet transform to analyze the pulp fibre image. Then extract the different characteristics of each fibre, to disjoin the intersect fibres. Experiment results show that the proposed techniques obtained perfect effects in the analysis of pulp fibre images.

Conventionally, defect detection of web surfaces has been performed by hardware solution for thresholding and matched filters. These techniques have made it possible to detect only the most basic defect types. In this paper, an efficient web surface defect detection method based on singularity detection was proposed. The proposed method was performed as follows: the original image was firstly smoothed by a 2-D Gaussian function and then we used the first order partial derivatives of the Gaussian function, which was known as local extrema approach, to record the values and angles of each modulus maximum at the corresponding location. The method is applied to some web surface defect images and the results are satisfactory and demonstrate good immunity to background textural noises. This method is targeted for web surface defect inspection but has the potential for broader application areas such as steel, wood and fabric defect detection.