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The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation. Segmentation-based object categorization can be viewed as a specific case of spectral clustering applied to image segmentation. ==Applications of image segmentation== * Image compression * * Segment the image into homogeneous components, and use the most suitable compression algorithm for each component to improve compression. * Medical diagnosis * * Automatic segmentation of MRI images for identification of cancerous regions. * Mapping and measurement * * Automatic analysis of remote sensing data from satellites to identify and measure regions of interest. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Segmentation-based object categorization」の詳細全文を読む スポンサード リンク
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