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Semi-automatic extraction technique of residential area in high resolution remote sensing image

Semi-automatic extraction technique of residential area in h...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Su, JY Zhang, JQ Hu, QW Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

In this paper a residential area texture description based on the 3 x 3 region grey deviations is designed and the Gauss blur is applied to make the residential area in the texture character image possess accordant grey value and limited contrast relative to the background area so as to obtain self-adaptive threshold for image segmentation And a skeleton processing is proposed to eliminate the road from the residential area. The experiment results of the semi-automatic extraction of the residential area in the remote sensing image with 3 meters ground resolution show this technique is very simple and effective to the semi-automatic extraction of the residential area and can meet the precision requirement of the mapping and surveying with satellite images.

关键词： high Resolution residential Area texture analysis gauss blur skeleton

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The fault diagnosis for photovoltaic array with the technique of - Infrared/visible image fusion

The fault diagnosis for photovoltaic array with the techniqu...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Wang, PZ Yang, WH Shen, YL Zhou, L Hefei Univ Technol Energy Res Inst Hefei 230009 Peoples R China

ISBN: (纸本)0819451819

In this paper, a new fault diagnosis approach for the photovoltaic array, which is based on infrared and visible image fusion technique, is proposed. Firstly, the temperature difference and infrared characteristics are analyzed, and then the features of both infrared image and visible image are extracted. By comparing the features of infrared image with those of visible image, the abnormal operating regions covered with something are distinguished. A fuzzy fault diagnosis approach is introduced and implemented for other regions detected in infrared image but none in visible image. Experimental results show that the proposed approach is feasible and effective.

关键词： fault diagnosis photovoltaic array infrared image visible image fusion fuzzy

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Singularity-preserving image interpolation using wavelet transform extrema extrapolation

Singularity-preserving image interpolation using wavelet tra...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zhai, GT Zhang, Y Zheng, XS Shandong Univ Sch Informat Sci & Engn Jinan 250100 Peoples R China

ISBN: (纸本)0819451819

One common task of image interpolation is to enhance the resolution of the image, which means to magnify the image without loss in its clarity. Traditional methods often assume that the original images are smooth enough so as to possess continues derivatives, which tend to blur the edges of the interpolated image. A novel fast image interpolation algorithm based on wavelet transform and multi-resolution analysis is proposed in this paper. It uses interpolation and extrapolation polynomial to estimate the higher resolution information of the image and generate a new sub-band of wavelet transform coefficients to get processed image with shaper edges and preserved singularities.

关键词： image interpolation resolution enhancement dyadic wavelet transform multi-scale edges

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Binary trademark retrieval using entropy and moments

Binary trademark retrieval using entropy and moments

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Huang, YY Guo, L Yang, JY Nanjing Univ Aeronaut & Astronaut Dept Comp Sci Nanjing 210094 Peoples R China

ISBN: (纸本)0819451819

Trademarks' retrieval has obtained more and more attention in recent research on content-based management and utilization of image database system. To retrieve the images, the key is to get the shape features. In this paper, a new method for extracting shape features of trademarks is presented. Based on the theory of information, the method uses images' entropy and invariant moments to capture the shape and spatial information of images. The algorithm is easy and the experimental results show its invariability with respect to translation, scale and rotation of objects. What's more, it also has the noise invariance.

关键词： trademark entropy invariant moments image retrieval

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Automatic analysis of the fracture of skull based on image content

Automatic analysis of the fracture of skull based on image c...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Shao, H Zhao, H Northeastern Univ Software Ctr Shenyang 110179 Peoples R China

ISBN: (纸本)0819451819

Automatic analysis based on image content is a hotspot with bright future of medical image diagnosis technology research. Analysis of the fracture of skull can help doctors to diagnose. In this paper, a new approach is proposed to automatically detect the fracture of skull based on CT image content. First region growing method, whose seeds and growing rules are chosen by k-means clustering dynamically, is applied for image automatic segmentation. The segmented region boundary is found by boundary tracing. Then the shape of the boundary is analyzed, and the circularity measure is taken as description parameter. At last the rules for computer automatic diagnosis of the fracture of skull are reasoned by entropy function. This method is used to analyze the images from the third ventricles below layer to cerebral cortex top layer. Experimental result shows that the recognition rate is 100% for the 100 images, which are chosen from medical image database randomly and are not included in the training examples. This method integrates color and shape feature, and isn't affected by image size and position. This research achieves high recognition rate and sets a basis for automatic analysis of brain image.

关键词： computer aided diagnosis medical image image analysis

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Feature extraction using filtered projections and fractal dimension

Feature extraction using filtered projections and fractal di...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Pang, YW Liu, ZK Zhang, QA Univ Sci & Technol China Dept EE&IS Hefei 230026 Peoples R China

ISBN: (纸本)0819451819

Feature extraction is an important step before object detection and pattern recognition are conducted. In this paper, we endeavor to find a new way of feature extraction. As well known, the fundamental of computerized tomography (CT) is image reconstruction from projections. And a famous image reconstruction algorithm is filtered back-projection. Since the filtered projections can reconstruct the original object, it can be inferred that they can also represent the object. One of the contribution of this paper is that the idea image reconstruction from projections is adopted. To reduce the pattern dimensionality without loss of the ability of characterizing the object, the fractal dimensions of all the filtered projections are computed. These fractal dimensions form a feature vector from which pattern recognition can be done easily. Preliminary results have demonstrated that the proposed approach is a promising method for feature extraction.

关键词： feature extraction fractal dimension filtered projection pattern recognition

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The arithmetic of RS image fusion preserving spectrum

The arithmetic of RS image fusion preserving spectrum

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Wu, LX E China Inst Technol Dept Survey Fuzhou 344000 Jiangxi Peoples R China

ISBN: (纸本)0819451819

These fusion methods such as IHS transform, Brovey transform and principal components transform could merged two optical image data of different resolutions - a high spatial resolution panchromatic image and a low spatial resolution multi-spectral image. But these fusion methods required the spectral range of the high spatial resolution panchromatic image equals or approximates to the spectral range covered with the multi-spectral image. This paper brings forward a new fusion method called FM that could merge two optical image data of different spectral range. This paper proposed its algorithm, firstly to filter on the panchromatic image, then to merge the remote sensing data applying algebra ratio. The fused production is more excellent at spectral preservation.

关键词： remote sensing fusion preserving spectrum FM

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SAR image speckle suppression based on stack filters

SAR image speckle suppression based on stack filters

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3rd international symposium on multispectral image processing and pattern recognition

作者： Bai, ZY He, PK Beijing Inst Technol Radar Res Lab Dept Elect Engn Beijing 100081 Peoples R China

ISBN: (纸本)0819451819

Speckle suppression is an important step in synthetic aperture radar (SAR) image processing. This paper addresses the problem of reducing speckle in SAR images by employing stack filters. Median filters have been used to successfully reduce non-Gaussian noises and impulse noises. Stack filters are a very large class of nonlinear filters that possess the threshold decomposition and the stack property. In this paper, stacking median filters are introduced. An algorithm for SAR speckle suppression based on stacking median filters is proposed. Threshold selection is also discussed. Experiments are performed using SAR images at different threshold differences to show the proposed algorithm's effectiveness.

关键词： SAR image speckle suppression median filter stack filter threshold selection

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Content-based TV sports video retrieval using multimodal analysis

Content-based TV sports video retrieval using multimodal ana...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Yu, YQ Liu, HY Wang, HB Zhou, DR Wuhan Univ Dept Comp Sci Wuhan 430072 Peoples R China

ISBN: (纸本)0819451819

In this paper, we propose content-based video retrieval, which is a kind of retrieval by its semantical contents. Because video data is composed of multimodal information streams such as visual, auditory and textual streams, we describe a strategy of using multimodal analysis for automatic parsing sports video. The paper first defines the basic structure of sports video database system, and then introduces a new approach that integrates visual streams analysis, speech recognition, speech signal processing and text extraction to realize video retrieval. The experimental results for TV sports video of football games indicate that multimodal analysis is effective for video retrieval by quickly browsing tree-like video clips or inputting keywords within predefined domain.

关键词： content-based video retrieval TV sports video visual and auditory information processing text extraction multimodal analysis

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Automatic registration of SAR and optical images based on linear features and neural network

Automatic registration of SAR and optical images based on li...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Wang, YL Chen, Z Beijing Univ Aeronaut & Astronaut Sch Automat Sci & Elect Engn Beijing 100083 Peoples R China

ISBN: (纸本)0819451819

An automatic SAR and optical image registration approach based on linear features and neural network is proposed. Firstly, fuzzy linear feature extraction algorithm is used and common straight line segments between SAR and optical images are kept for matching primitives. Then discrete relaxation method is adopted to get acceptable matched primitives of two images and the crossing points of these matched line segments are taken as control points of image registration. Lastly neural network is employed to realize the image transformation and resampling. The experimental results are given and show that the proposed image registration approach can resolve the registration of SAR and optical images including.

关键词： image registration linear feature neural network SAR image optical image

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