计算机科学
計算機科學
계산궤과학
COMPUTER SCIENCE
2003年
3期
90-91,95
,共3页
王宽全%刘莉%邬向前%张大鹏
王寬全%劉莉%鄔嚮前%張大鵬
왕관전%류리%오향전%장대붕
Cancer and noncancer%Clustering algorithm%Automated palm diagnosis%Statistical feature
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.
