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检索条件"任意字段=5th International Symposium on Multispectral Image Processing and Pattern Recognition"

共 1594 条记录，以下是71-80 订阅

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Improved clustering algorithm for image segmentation based on CSA

Improved clustering algorithm for image segmentation based o...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Zhang, Xiaohua Yang, Pu Jiao, Licheng Hou, Xiaojin Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China

ISBN: (纸本)9780819469502

image segmentation is the prerequisite step for further image analysis. Segmentation algorithms based on clustering attract more and more attentions. In this paper, an image-domain based clustering method for segmentation, called CSA-CA, is proposed. In this method, a scale parameter is introduced instead of an apriori known number of clusters. Considering that adjacent pixels are generally not independent of each other, the spatial local context is took account into our method. A spatial information term is added so that the near pixels have higher probability to merge into one cluster. Additionally, a clonal selection clustering operator is used so that a cluster is capable of exploring the others that are not neighboring in spatial but similar in feature. In the experiments we show the effectiveness of the proposed method and compare it to other segmentation algorithms.

关键词： image segmentation clustering algorithm image domain clonal selection algorithm

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Facet-based adaptive anisotropic diffusion for image selective smoothing

Facet-based adaptive anisotropic diffusion for image selecti...

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5th international symposium on multispectral image processing and pattern recognition

作者： Wang, Guodong Sang, Nong Yan, Luxin Shen, Xubang Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multi Spectral Informat Proc Techno Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

In each step of anisotropic diffusion smoothing, noises must be managed to get better results. the mostly used method is Gaussian filtering. However, the standard deviation of the Gaussian filter can't be accurately obtained and it should change during the iterative process. Another problem is how to select a proper standard deviation to reducing noises while preserving edges. Actually, facet model fitting can be taken as a natural way to overcome the drawbacks mentioned above. Facet model fitting has the low-pass filtering performance adaptive to the image during evolution of diffusion;it can also achieve balanced results for noise reduction and edge preserving. Experiments show the method can preserve more edges as well as obtain higher peak signal-to-noise ratio as compared to other anisotropic diffusion based selective smoothing approaches.

关键词： facet-model image selective smoothing anisotropic diffusion

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SAR image edge detection combining radon transform with RDWT

SAR Image edge detection combining radon transform with RDWT

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5th international symposium on multispectral image processing and pattern recognition

作者： Yang, Xinyan Jiao, Licheng Wang, Jiajun Soochow Univ Sch Elect & Informat Engn Suzhou 215021 Peoples R China Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China

ISBN: (纸本)9780819469502

the Synthetic Aperture Radar (SAR) is a promising sensor to obtain high-resolution images. But the presence of speckled noise brings many difficulties to SAR image processing, especially in edge detection. the edge detection methods available cannot solve this problem perfectly. An effective edge detection algorithm based on the directional information is presented, in which, two transforms are introduced, one is Fast Slant Stack transform, a new radon transform with the advantage of speed and invertibility, the other is Redundant Discrete Wavelet Transform(RDWT) whose best performance in edge detection is shift-variance characteristic. Besides, overlapped windows and soft threshold utilized to reduce the wrong detection probability and improve the location precision. Finally, comparisons with related methods are given in this paper. Experimental results prove the proposed algorithm can obtain valid edge information in SAR images.

关键词： SAR image edge detection fast slant stack transform RDWT

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image denoising with window shrink wavelet coefficients by adaptive threshold - art. no. 678613

Image denoising with window shrink wavelet coefficients by a...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Zhao, Yifan Li, Jiuxian Xia, Liangzheng SE Univ Dept Automat Control Nanjing 210096 Peoples R China

ISBN: (纸本)9780819469502

We introduce an adaptive wavelet coefficients shrinkage method and apply it to image denoising. Donoho's denoising scheme which is based on thresholding the wavelet coefficients, eliminates too many wavelet coefficient without considering the image's local characteristics. In this paper we propose a new shrinkage method which can modify the magnitude of shrinkage by considering neighboring wavelet coefficients and variance of noise. So we can use more wavelet decomposition levels than other wavelet shrinkage methods to recover the noisy images. the proposed method outperforms the other methods given in literature, while its implementation and concept are both simple.

关键词： wavelet shrinkage image denoising adaptive threshold neighboring coefficients

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A novel RST invariant digital image watermarking scheme

A novel RST invariant digital image watermarking scheme

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zheng, D Zhao, JY Univ Ottawa Sch Informat Technol & Engn Multimedia Commun Lab Ottawa ON K1N 6N5 Canada

ISBN: (纸本)0819451819

this paper presents a novel digital image watermarking scheme that is invariant to rotation, scaling, and translation (RST). We embed watermark in the log-polar mapping,,, of the Fourier magnitude spectrum. of m original image, and use the phase information of the original image to rectify the watermark positions. the scheme avoids computing inverse log-polar mapping (ILPM) to preserve image quality. bind avoid exhaustive search to save computation time and reduce false detection rate.

关键词： digital image watermarking RST invariant LPM ILPM phase information

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Adaptive template-updating strategy based on singular value decomposition

Adaptive template-updating strategy based on singular value ...

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5th international symposium on multispectral image processing and pattern recognition

作者： Wang, Guogang Zhang, Zhijia Shi, Zelin Chinese Acad Sci Sheyang Inst Automat Shenyang 110016 Peoples R China Chinese Acad Sci Grad Sch Beijing 100039 Peoples R China Shenyang Univ Technol Shenyang 110023 Peoples R China

ISBN: (纸本)9780819469502

the problem of image matching and target tracking based on singular value decomposition (SVD) is discussed. the SVD has robust performance that is invariant to image disturbance and it makes the singular value credible to represent the image as an algebraic feature. A template-updating strategy is proposed to update the current template based on the scale invariant character of the singular value vector. the updated template that contains the accurate target is adaptively acquired according to the singular value's scale invariance. Experiments are performed on a large test set and the results show that the proposed strategy is practical and efficient in target tracking.

关键词： adaptive template-updating image matching singular value decomposition target tracking

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Wavelet transforms on vector spaces as a method of multispectral image characterisation

Wavelet transforms on vector spaces as a method of multispec...

引用

Proceedings of the 5th international Conference on image processing and its Applications

作者： Watson, G.H. Watson, S.K. Defence Research Agency

A new form of wavelet-based feature extraction is developed for the multiresolution analysis of multispectral imagery. this method is applicable to any vector field where the base space is Euclidean. Since the field vectors lie in the fiber space and not on the base space, they can be abstract and of much higher dimension than the base space.

关键词： image processing

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Moving point target detection using temporal variance filter in IR imagery

Moving point target detection using temporal variance filter...

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5th international symposium on multispectral image processing and pattern recognition

作者： Sun, Xiechang Zhang, Tianxu Li, Meng Huazhong Univ Sci & Technol State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

A crucial problem in Infrared Search and Track (IRST) systems is the detection of moving point targets, there are many algorithms reported in the literature for dealing with this problem, yet none of them yield acceptable results under all situations. In this paper, we describe a new temporal variance filter (TVF) for detecting targets whose velocity are higher than 1 pixel/frame;the filter iteratively estimates the temporal variance of each pixel, then subtracts the last iteration step variance from the variance of current step. Subsequently, we introduce a novel image segmentation algorithm in order to extract point targets from clutter background, the trajectories of the point targets could be established by post-processing algorithm. Before applying the temporal filter, the anti max-median filter given by Suyog D. Deshpande et al. is incorporated as a preprocessing technique to suppress cloud clutter. It is assumed that targets' velocity is higher than 1 pixel/frame;targets with sub-pixel/frame velocity are not considered. the performance of our approach is evaluated by using available real-world infrared image sequences containing simulated moving point targets;it performs steadily under most situations.

关键词： point target detection temporal variance filter noise rejection image segmentation visual contrast IR imagery

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Color image segmentation by integrating texture measure into JSEG method

Color image segmentation by integrating texture measure into...

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5th international symposium on multispectral image processing and pattern recognition

作者： Sheng, Qinghong Zhang, Jianqing Xiao, Hui Wuhan Univ Inst Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469502

We present a new color image segmentation method that combined texture measures and the JSEG (J measure based JSEGmentation) algorithm. In particular, two major contributions are set forth in this paper. (1) the two measures defined in JSEG and the Laws texture energy is discussed respectively and then we find that the over-segmentation problem of JSEG could be attributed partly to the absence of color discontinuity in the J measure. (2) A new measure is proposed by integrating the Laws texture energy measures into the J measure, on which our segmentation method is based. the new segmentation method taking account of both textural homogeneity and color discontinuity in local regions can be used to detect proper edges at the boundaries of shadows and highlights. Performance improvement due to the proposed modification was demonstrated on a variety of real color images.

关键词： color image segmentation JSEG Laws texture energy homogeneity measure

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EO-1 ALI panchromatic and multispectral image fusion based on sensor spectral response

EO-1 ALI panchromatic and multispectral image fusion based o...

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5th international symposium on multispectral image processing and pattern recognition

作者： Xu, Jia Guan, Zequn Du, Juan Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469519

Ideally, one objective of image fusion in remote sensing is to obtain high-resolution multispectral images with simultaneously the spectral characteristic of multispectral images and an enhanced spatial resolution. To date, numerous image fusion techniques have been developed. However, many methods may introduce spectral distortion, appearing as a change in colors between compositions of resampled and fused multispectral bands. To tackle this problem, some methods have taken the radiometric characteristics of sensors into account. this paper is an attempt to fuse high-resolution panchromatic and low-resolution mutlitspectral bands of the EO-1 ALI sensor. Starting from the analysis of spectral difference between ALI and other sensors, the authors present two methods which take into account the physical spectrum response of sensors during the fusion process: one is an improved fast intensity-hue-saturation (IHS) method with spectral adjustment according to sensor spectral response, and the other directly introduces sensor spectral response into the general component substitution image fusion method. An experiment based on ALI images has been carried out to demonstrate the effectiveness of the proposed approach. the fused images processed through the proposed methods have almost the same spatial resolution as panchromatic images and keep good spectral characteristics.

关键词： image fusion ALI images spectral response intensity-hue-saturation (IHS) transform

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