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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Density Function Based Medical Image Clustering Analysis and Research
verfasst von : SONG Yuqing, XIE Conghua, ZHU Yuquan, LI Cunhua, CHEN Jianmei
Erschienen in: Advances in Computer, Information, and Systems Sciences, and Engineering
Verlag: Springer Netherlands
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- Image clustering analysis is one of the core techniques for image indexing, classification, identification and segmentation for image processing. On the basis of investigation on the laws of gray distribution of medical image, density function construction based medical image clustering analysis method is designed. For the special kind of data object – medical images, firstly its density function is constructed; secondly, a method of density function construction based on medical image clustering analysis and its implementation algorithm, that is, hill climbing, is offered; At last, abdomen medical images are used to do experiments according to those two algorithms. Experiment results show that medical image clustering on the ground of density function construction achieves good effects and can clearly express the content and semanteme of medical images.