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This paper puts forward a new shadow defects segmentation method based on YCbCr color space. First, Mean Shift smoothing method is used to smooth the image pixels, and the motion area which includes the vehicle and the shadow defect is selected by binary discrete wavelet transforms after Mean Shift smoothing, and then the original data of the shadow defect according to the characteristics of the occurrence...
An improved paper defects detection method based on visual attention mechanism computation model is presented. First, multi-scale feature maps are extracted by linear filtering. Second, the comparative maps are obtained by carrying out center-surround difference operator. Third, the saliency map is obtained by combining the conspicuity maps, which is gained by combining the multi-scale comparative...
A redundant wavelet transforms based stereo video objects segmentation algorithm is presented. First, the redundant wavelet transforms is used to extract the feature points of stereo video images, and then according to the feature points, the disparity estimation is done to form a disparity map. The stationary video objects are segmented from the stereo images by disparity map. For the moving video...
Moving vehicle recognition and tracking is the key technology in the intelligent traffic monitoring system. For the shortcomings and deficiencies of the frame-subtraction method, a binary discrete wavelet transforms based moving object recognition algorithm is put forward, which directly detects moving vehicles in the binary discrete wavelet transforms domain. For the shortages of RGB or HSV color...
The segmentation of video object is an important technique of multimedia processing. The biggest characteristic of MPEG-4 which is the multimedia compressing standard is that it puts forward the video object based compressing. Currently, there is no method which can segment the moving object effectively. This paper puts forward a new method to obtain the motion area based on redundant wavelet transforms...
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