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Calculation of image similarities is one of the key technologies for RBIR (Region-Based Image Retrieval) system. In this paper, a method of region-based calculating image similarity was proposed. For this method, firstly, the similarity of two regions with the combination features (color, texture and position), histogram and region shape features, was computed, respectively. Then, the similarity of...
A method of region-based image segmentation with mean-shift clustering algorithm is introduced. This method first extracts color, texture, and location features from each pixel to form feature vector by selecting suitable color space. Then, these feature vectors are clustering with mean-shift clustering algorithm and the window parameter r is decided by the proposed method of selecting optimal clustering...
In this paper, a K-means clustering (KMC) algorithm of automation determination the clustering number K is proposed, and a approach of region-based image segmentation is introduced based on our proposed algorithm. For this approach, firstly, a suitable color space is selected, the features of color, texture, and location are extracted, and the feature space is generated. Then, in this feature space,...
Approaches of ROI (regions of interest) confirmed and similarity calculated are key techniques for ROIBIR (regions of interest-based image retrieval) system. In this paper, two approaches of confirming ROI and a region-based similarity measure approach are proposed. Two approaches of confirming ROI which consider enough the visibility of image regions,the possibility of designating region and itpsilas...
A BP neural network-based color space quantization scheme with human perception for the different color during the quantization process is propose in this paper. The method of gathering color samples, the design of gathering software and the method of data processing based on BP neural network for color samples are introduced. This quantization scheme may be used for image color feature extraction...
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