Image multi-scale edge detection based on antisymmetrical biorthogonal wavelet is given detailedly in theory, Especially an algorithm of wavelet decomposition in which multi-scale edge can be detected is put forward. ...
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Image multi-scale edge detection based on antisymmetrical biorthogonal wavelet is given detailedly in theory, Especially an algorithm of wavelet decomposition in which multi-scale edge can be detected is put forward. Based on above using different kinds of wavelet decomposition data such as approximate coefficients and multi-scale edge image, a moving object detection approach in active video surveillance system is proposed. Firstly Block Matching is used to calculate motion vector in low frequency image of wavelet decomposition. Then Motion Compensation and Frame Difference between two adjacent frames applied to extract moving object information. And using multi-scale edge image of wavelet Region Growth is combined with Hough Transformation to define region of potential object. Finally object is farther segmented in object potential region. Experimental results indicate that the method presented in the paper is effective.
Color image retrieval and classification are very important in the field of image *** this paper, we propose a method which is in token of color characteristic of one image using hue and thereby is used to calculate s...
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Color image retrieval and classification are very important in the field of image *** this paper, we propose a method which is in token of color characteristic of one image using hue and thereby is used to calculate similarity between two *** also take *** to find the best threshold so that we can realize fuzzy partition, and finally fuzzy c-means algorithm is used to do image classification and the calculation of subjection degree of one picture in the corresponding *** corresponding mathematical model is ***, we construct a frame in which image comparability is obtained through fuzzy similarity measure based on hue feature vector of image, thus image retrieval is finished, and image classification is realized by fuzzy *** comparison of image retrieval result between RGB feature vector and only-hue feature vector in token of image characteristic is *** experiment shows that the idea which takes this fuzzy similarity measure and fuzzy clustering method as the scheme of image retrieval and classification is reasonable and effective.
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