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多中心动态聚类算法及对癌症与非癌症彩色手掌图像的分类 被引量:1
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作者 王宽全 刘莉 +1 位作者 邬向前 张大鹏 《计算机科学》 CSCD 北大核心 2003年第3期90-91,95,共3页
Observing palm is one of diagnosis methods in Traditional Chinese Medicine and HolographicMedicine. Generally, the shape, color, ridge and line features of palm are all important for palm diagnosis. As thefirst attemp... Observing palm is one of diagnosis methods in Traditional Chinese Medicine and HolographicMedicine. Generally, the shape, color, ridge and line features of palm are all important for palm diagnosis. As thefirst attempt for automated palm diagnosis, the color is used and a new statistical feature of color, moment feature, isdefined in this paper. Multi-central dynamic clustering algorithm based on our new feature is proposed to recognizecancerous palm images. Applying our approach to the images in the palm database including all kinds of pathologicaland healthy palm images, the experimental results indicate that it is effective to recognize cancerous palm images andsuperior over the K-mean algorithm. 展开更多
关键词 动态聚类算法 癌症彩色手掌图像 分类 模式识别 生物特征识别 癌症彩色手掌图像
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