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检索条件"任意字段=MIPPR 2007: Multispectral Image Processing"

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New model of region extraction based on salient region detection and scale-space primal sketch

New model of region extraction based on salient region detec...

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Xiao, Jie Ding, Mingyue Cai, Chao Zhou, Chengping Huazhong Univ Sci & Technol State Key Lab Multispectral Informat Proc Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469519

This paper developed a new model of region extraction based on salient region detection and scale-space primal sketch. In the proposed model, we extract the region of interest (ROI) in two steps. Firstly, we estimate the extent of object by means of region detection, which considers the feature that contributes most to the saliency map. Secondly, we use the scale-space primal sketch to acquire an explicit representation of the significant image structure which gives a qualitative description of the scales and regions of interest. Finally, we combine the results from the two steps. Applications to extract ROI showed that this new model could lead to better results which can be used for guiding later stage processing.

关键词： salient region detection scale-space primal sketch attended region blob detector

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Efficient implementation of MQ arithmetic coder

Efficient implementation of MQ arithmetic coder

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Gao, Zhirong Xiong, Chengyi Hou, Jianhua South Ctr Univ Nationalities Coll Comp Sci Wuhan 430074 Peoples R China South Ctr Univ Nationalities Coll Elect Informat Engn Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469519

MQ arithmetic coder has been adopted to achieve entropy coding in the latest image compression standard JPEG2000, which is a bit-level operation with intensive branch and feedback thus becomes a serious bottleneck of high speed JPEG2000. In this paper, an efficient implementation scheme for MQ coder was proposed, in which the renormalization process with BYTEOUT was performed in batch fashion instead of gradual iteration as introduced in JPEG2000. Experimental results have proved the validity of this method in decreasing computation complexity.

关键词： MQ coder JPEG2000 image compression

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Optimal fusion method for multi-focus images

Optimal fusion method for multi-focus images

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Wen, Jianting Gong, Haifeng Zhang, Bing Chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Remote Sensing Sci Beijing 100864 Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100864 Peoples R China

ISBN: (纸本)9780819469519

This paper presents a fusion method for multi-focus images to produce a new clear image for the scene. First we analyze the defocused image formation process and obtain a set of ill-posed equations. By imposing some constraints, they become well-posed and the fusion task is converted to a simple optimization problem. Then the optimization problem, which minimizes the gradient difference and intensity difference with respect to the objective gradient field and intensity constraints, is equivalent to the optimal fusion method for multispectral image fusion. So we construct the objective gradient field and the intensity constraints by clarity analysis and model change respectively and obtain the minimization result by the iterative optimization steps of optimal fusion. At last, the experiments convincingly demonstrated that the proposed method has better tolerance to misalignment and noises than wavelet fusion.

关键词： optimal fusion multi-focus defocus depth of field intrinsic image

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liLocal mapping for middle-size league of RoboCup

liLocal mapping for middle-size league of RoboCup

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： He, Qicheng Yang, Yimin Zhang, Xuexi Huang, Yanbiao Guangdong Univ Technol Inst Automat Guangzhou 510090 Guangdong Peoples R China

ISBN: (纸本)9780819469502

Aiming at making up the limitation of catadioptric vision system that lacks of nearby image information, which is used for the middle-size league of RoboCup - The World Cup of Soccer Robots, this paper introduces the monocular front vision process with the purpose of improving the primary system. The paper puts forward the idea of the monocular front vision process at first, explains the algorithm of every module in detail, and comes up with the result as well as analyzes it according to the experiment at last.

关键词： RoboCup middle-size league machine vision image recognition

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Real-time target tracking with particle filter in moving monocular camera

Real-time target tracking with particle filter in moving mon...

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Liu, Guocheng Wang, Yongji Huazhong Univ Sci & Technol Key Lab Image Processing & Intelligent Control Chinese Educ Minist Wuhan 430072 Peoples R China

ISBN: (纸本)9780819469502

In this paper, we propose an improved particle filter algorithm for real-time tracking a randomly moving target in dynamic environment with a moving monocular camera. For making the tracking task robustly and effectively, color histogram based target model is integrated into particle filter algorithm. Bhattacharyya distance is used to weight samples by calculating each sample's histogram with a specified target model and it makes the measurement matching and samples' weight updating more reasonable. In order to reduce sample depletion, the improved algorithm will be able to take the latest observation into account. The experimental results confirm that the method is effective even when the monocular camera is moving and the target object is partially occluded in a clutter background.

关键词： visual tracking particle filter state-space model

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Novel adaptive multi threshold image segmentation algorithm

Novel adaptive multi threshold image segmentation algorithm

引用

mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

作者： Hong, Jiang Zhang, Ren School of Automation Science and Electrical Engineering BeiHang University Beijing 100083 China

ISBN: (纸本)9780819469502

A novel adaptive multi threshold image segmentation algorithm is proposed in this paper. This proposed segmentation algorithm has two unique characteristics: it fits the 1-D graylevel histogram of the image by potential base function and thereby adaptively determines the classification number by potential function clustering;based on the graylevel co-occurrence matrix, it acquires the multi segmentation thresholds which makes the shape connectivity maximum according to the shape connectivity criterion. Both theoretical analysis and simulation results indicate that the performance of this new adaptive multi threshold segmentation algorithm is superior to those of the conventional threshold segmentation algorithms. And it has not only a low computing cost, but also shows quite good segmentation effect. Besides, it is insensitive to noises and interferences.

关键词： Adaptive algorithms

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Method of image enhancing based on shape feature of target

Method of image enhancing based on shape feature of target

引用

mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

作者： Wu, Wei Xiang, Lan Zhou, Zude School of Information Engineering Wuhan University of Technology

ISBN: (纸本)9780819469502

It is difficult to get ideal effect that research on target enhancement and segmentation are developed by simply using features of edge, texture and gray in complex background. Studies on target enhancement and segmentation have always been the research focus for a long time. Considering known regular shape target in complex background, an approach of target enhancement and segment based on shape feature is proposed. According to analyze the shape of regular target such as line and arc, first, Top-hat is used to enhance target. Then, threshold segmentation method, thinning and deburring are following. Third, a new image is acquired by the Hough transform which can find points in edge image similar with target in shape and property. The very points would be reserved. Moreover, the new image acquired is the initial condition of reconstruction, the original image is limit condition, and target enhancement is achieved by grayscale morphological reconstruction. Finally, binaryzation processing of image was used to segment target. Experimental results demonstrate that the proposed algorithm has an encouraging performance.

关键词： image enhancement

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IHS and support value integrated approach to improve pansharpening quality of QuickBird image

IHS and support value integrated approach to improve panshar...

引用

mippr 2007: multispectral image processing

作者： Zheng, Sheng Yang, Changeai Liu, Jian Tian, Jinwen Electronics and Information Engineering Department Huazhong University of Science and Technology Wuhan 430074 China Institute of Intelligent Vision and Image Information Best College of Electrical Engineering and Information Technology China Three Gorges University Yichang 443002 China State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469519

image fusion is an important tool in remote sensing, since many Earth observation satellites provide both high-resolution panchromatic (Pan) and low-resolution multispectral (MS) images. To date, many image fusion techniques have been developed. However, the available algorithms can hardly produce a satisfactory fusion result for IKONOS and QuickBird images. Among the existing fusion algorithms, the IHS technique is the most widely used one, and the wavelet fusion is the most frequently discussed one in recent publications because of its advantages over other fusion techniques. But the color distortion of these two techniques is often obvious. The support value fusion technique demonstrates some advantages over the conventional methods. This study presents a new fusion approach that integrates the advantages of both the IHS and the support value techniques to reduce the color distortion of QuickBird fusion results. Different QuickBird images have been fused with this new approach. Visual and statistical analyses prove that the concept of the proposed extended fast IHS (eFIHS) and support value integration is promising, and it does significantly improve the fusion quality compared to conventional IHS (eFIHS) and wavelet fusion techniques.

关键词： image fusion

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FLIR image segmentation based on DA-GMRF model

FLIR image segmentation based on DA-GMRF model

引用

mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

作者： Qi, Lin Shi, Zelin Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Graduate School Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)9780819469502

In order to conquer the drawback of over-smoothness in the MRF model, a kind of discontinuity-adaptive Gaussian Markov random field (DA-GMRF) model is defined, in which the edge information of image is used to construct corresponding energy functions. After this a FLIR image segmentation method based on DA-GMRF model is proposed, which includes initialization and optimization of the label field. A multi-threshold image segmentation algorithm based on potential function of gray histogram is presented to initialize the label field. This algorithm can determine region number and multi-thresholds automatically. Metroplis Sampler algorithm is adopted to optimize the label field. Segmentation experiments on several images show that the algorithm proposed is effective.

关键词： image segmentation

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Reduced memory zerotree envelop coding for wavelet image

Reduced memory zerotree envelop coding for wavelet image

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mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

作者： Wentao, Wang Guoyou, Wang Jianguo, Liu State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China College of Computer Science South-Central University for Nationalities 708 Minyuan Road Wuhan 430074 China

ISBN: (纸本)9780819469502

In this paper, we propose a new image codec, which called embedded zerotree wavelet coefficients envelop coding (EZWCEC). The coefficients envelop is characterized by describing the global tendency of the significant wavelet coefficients. Based on the empirical analysis and experimental results, our EZWCEC algorithm restores the trend of the significant wavelet coefficients and estimates the magnitude of some insignificant coefficients on the decoder. Unlike other zerotree coding algorithms such as Said and Pearlman's SPIHT using three lists, EZWCEC only uses two lists during encoding and decoding. So the memory requirement for the hardware implementation is reduced significantly. Although PSNR values for EZWCEC are lower than SPIHT's and JPEG2000's, our experiment results have shown that EZWCEC can dramatically improve the visual quality of reconstructed at low bit rates (e.g., below 0.1bpp).

关键词： image coding

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