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Algorithm of the scene matching based on spatial relation constrain

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2004年第8期32卷 76-78页

作者： Zuo, Zhengrong Yang, Weidong Zhang, Tianxu Inst. for Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China Lab. for Image Proc. Huazhong Univ. of Sci. and Technol Wuhan 430074 China

The multiple subimage were extracted from the reference image according to a predefined selection method. They were regarded as a template and correlated with the real image. The multiple matching results were integrated with the clustering method based on the spatial relation among the subimages. The confidence of the final matching result was given. The test result showed that the method had improved the performance of correlation-based matching.

关键词： pattern matching

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Nonuniformity correction of IRFPA with nonlinear response

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Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves 2004年第4期23卷 251-256页

作者： Shi, Yan Zhang, Tian-Xu Li, Hui Cao, Zhi-Guo Inst. for Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China Lab. for Image Proc. Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

Aiming at the nonlinearity of photoresponse characteristic in infrared focal plane array (IRFPA), an approach for nonuniformity correction in IRFPA was proposed, which is simple and easy to implement by hardware circuit. The theoretical analysis and comparison of simulation results show that its performance is more perfect than that of the piecewise linear algorithm and the polynomial fitting algorithm, and only a few correction factors are needed.

关键词： Infrared imaging

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Method for generating chaotic key stream

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Jisuanji Xuebao/Chinese Journal of Computers 2004年第3期27卷 408-412页

作者： Hu, Han-Ping Liu, Shuang-Hong Wang, Zu-Xi Wu, Xiao-Gang Lab. of Image Info. Proc. Huazhong Univ. of Sci. and Technol. Wuhan 430074 China Inst. of Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

This paper proposed a method for generating chaotic key stream based on the chaotic map and a fast algorithm to implement it. This method divides the chaotic attractor into 2n symmetric sub-intervals, samples from the chaotic orbit every n time intervals, and gets the independently and uniformly distributed 2n-phase key stream. The theoretical and numerical analyses show that the sequence also has a high complexity. This method can be used in fields such as cryptography, numerical simulation and spread spectrum communication, etc.

关键词： Cryptography

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Generalization of moment invariants

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Jisuanji Xuebao/Chinese Journal of Computers 2004年第5期27卷 668-674页

作者： Liu, Jin Zhang, Tian-Xu Inst. of Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China Lab. of Image Info. Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

Moment invariants are important shape descriptors in computer vision. The method of generating trigonometric function is suggested as a new efficient way to derive various moment invariants. General rule of moment invariant construction is summarized and the notion of moment invariant space is established. Five more moment invariants are derived and tested. Furthermore, general explicit constructions of some high-order moment invariants are developed. The comparisons are made between the stabilities of several invariants for the discrete image. With the help of these additional moment invariants, we can distinguish the image and the object more accurately.

关键词： Computer vision

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Novel approach for vehicle license plate location based on edge-color pair

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Jisuanji Xuebao/Chinese Journal of Computers 2004年第2期27卷 204-208页

作者： Li, Wen-Ju Liang, De-Qun Zhang, Qi Fan, Xin Coll. of Comp. and Info. Technol. Liaoning Normal Univ. Dalian 116029 China Coll. of Info. Eng. Dalian Maritime Univ. Dalian 116026 China Inst. of Image Proc. and Recognition Xi'an Jiaotong Univ. Xi'an 710049 China

Locating the vehicle license plate plays an important role in the vehicle license plate automatic recognition system. A novel locating approach based on the edge-color pair is presented. The edges are detected in a color car image;A line-shape window is made for every edge pixel, and its direction is perpendicular to the direction of the edge and its center is located on the edge pixel, the color pattern of the pixels on both sides of the edge point in the window is investigated and the centric edge point of the window is reserved when the color pattern matches the combination of the background color and text color of the plates. A morphological filter is applied to the candidate binary image for removing the regions without the structure feature of the license plate. The license plate is extracted correctly from the candidate regions by analyzing the texture feature of the plate. The proposed method focuses on matching background color and character color in a license plate and combines its structure feature and texture feature. The experiments on 163 car images which are taken under various conditions show the extraction rate of 98.2%. Integrating color edge detection, edge-color pair, mathematical morphology and neural network into our method, the approach offers robustness when dealing with noisy car images, car images in variant lighting conditions and car images with skew number plate.

关键词： Vehicle locating systems

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image segmentation and edge detection based on watershed techniques

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International Journal of Computers and Applications 2003年第4期25卷 258-263页

作者： Salman, N.H. Liu, Chong-Qing Inst. of Image Proc./Pattern Recog. Shanghai Jiao Tong University Shanghai 200030 China

K-means and watershed segmentation techniques are presented to perform image segmentation and edge detection tasks. We first used the K-means technique to obtain a primary segmented image. We then employed a watershed technique that works on that image;this process includes gradient of the segmented input image, divides the image into markers, completes the watershed line by using the markers, and stores the image in the format of region adjacency graph (RAG). The initial segmentation result was obtained by the watershed algorithm. We then used merging techniques based on mean gray values and two edge strengths (T1, T2) to obtain edge maps. In this article we solved the problem of undesirable oversegmentation results produced by the watershed algorithm, when used directly with raw data images. Also, the edge maps have no broken lines on the entire image, and the final edge detection result is one closed boundary per actual region in the image.

关键词： image segmentation

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Analog signal generator for BIST of wideband IF signals bandpass sigma-delta modulator

Analog signal generator for BIST of wideband IF signals band...

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作者： Huang, Feng Shen, Xuban Zou, Xuecheng Chen, Chaoyang State Key Lab. Image Proc./I.C. Inst. Pattern Recognition/Artif. I. Huazhong Univ. of Sci./Technology Wuhan Hubei 430074 China Dept. of Electron. Sci./Technology Huazhong Univ. of Sci./Technology Wuhan Hubei 430074 China

This paper presents improvements in generation of wideband and high dynamic range analog signal for area-efficient MADBIST, especially for the on-chip testing of wireless communication IF digitizing sigma-delta modulator chip. Via increasing the order of the one-bit bandpass sigma-delta modulation algorithm up to 12 and using finite repetitious bitstream approximating scheme, it can achieve great improvements in signal bandwidth inst.ad of purity at the cost of very little hardware overhead. Another contribution in this work is to provide the theoretical analysis of the reconstructed signal degradation due to harmonic distortion and clock jitter. Such on-chip analog stimulus generation scheme is especially fit for IF digitizing bandpass sigma-delta modulator chip's production-time testing and in-the-field diagnostics. The technique can also be extended to mixed-signal communication SoC built-in-self-test. © 2002 Elsevier Science Ltd. All rights reserved.

关键词： Modulators

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Segmentation of forward-looking infrared images by genetic algorithm and fuzzy entropy

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Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves 2003年第6期22卷 465-468页

作者： Tao, Wen-Bing Tian, Jin-Wen Liu, Jian Lou, Yue Lab. for Image Proc. Huazhong Univ. Sci. and Technol. Wuhan 430074 China Inst. for Pattern Recognition Huazhong Univ. Sci. and Technol. Wuhan 430074 China Inst. of Optics and Precision Mech. Chinese Acad. of Sci. Xi'an 710068 China

A FLIR image segmentation algorithm based on genetic algorithm and fuzzy set theory was presented. The method defines different member function for the object and background of the image to transform the image into fuzzy domain with maximum fuzzy entropy. The procedure for finding combination of a, b and c is implemented by genetic algorithm, thresholding image into object and background by maximizing the fuzzy entropy. The experiment results show that our proposed method gives better performance and higher calculation speed than other general methods with good real-time by using genetic algorithm.

关键词： image segmentation

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An object tracking algorithmbased on occlusion mesh model

An object tracking algorithmbased on occlusion mesh model

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proceedings of 2002 International Conference on Machine Learning and Cybernetics

作者： Zhao, Jian-Wei Wang, Peng Liu, Chong-Qing Inst. Image Proc Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780375084

The concept of occlusion mesh model is introduced. A novel object tracking algorithm based on occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. Mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experiment results indicate that the proposed algorithm is practical and feasible, it can be used to object tracking effectively. Also it solves 2D motion estimation problem existed in occlusion regions and shows better visual performance.

关键词： Algorithms

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image SEGMENTATION BASED ON MARKOV RANDOM FIELD AND WATERSHED TECHNIQUES

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Journal of Shanghai Jiaotong university(Science) 2002年第1期7卷 36-41页

作者： NASSIR H.SALMAN(纳瑟) LIU Chong-qing (刘重庆) Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

This paper presented a method that incorporates Markov Random Field(MRF), watershed segmentation and merging techniques for performing image segmentation and edge detection tasks. MRF is used to obtain an initial estimate of x regions in the image under process where in MRF model, gray level x , at pixel location i , in an image X , depends on the gray levels of neighboring pixels. The process needs an initial segmented result. An initial segmentation is got based on K means clustering technique and the minimum distance, then the region process in modeled by MRF to obtain an image contains different intensity regions. Starting from this we calculate the gradient values of that image and then employ a watershed technique. When using MRF method it obtains an image that has different intensity regions and has all the edge and region information, then it improves the segmentation result by superimpose closed and an accurate boundary of each region using watershed algorithm. After all pixels of the segmented regions have been processed, a map of primitive region with edges is generated. Finally, a merge process based on averaged mean values is employed. The final segmentation and edge detection result is one closed boundary per actual region in the image.

关键词： Markov random field(MRF) watershed algorithm K-means edge detection image segmentation image analysis

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