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Blood cell analysis is becoming more and more attainable and worthy for blood diseases diagnosis. And blood cell segmentation is an important step for automated blood cells analysis based on image processing. This paper presented an improved support vector machine algorithm for blood cell segmentation for molecular hyperspectral images processing. This algorithm combined SVM with iterative self-organizing...
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,...
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