Boundary Roughness Analysis of Skin Lesions using Local Fractals and Wavelet Transforms

被引:0
作者
Li, Ma [1 ]
Huang Kejie [1 ]
Yan Jianqiang [1 ]
Wu, Kaihua [1 ]
Zhu, L. [2 ]
机构
[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Zhejiang, Peoples R China
[2] Oracle Corp, Redwood Shores, CA 94065 USA
来源
2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010) | 2010年
关键词
structural irregularity; local fractal distributions; wavelet transforms;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Boundary roughness of skin lesions is of clinical significance for early detection of malignant melanomas. An integrated approach of local fractals and multi-level wavelet analysis is proposed in the paper. Local fractal profile of a lesion contour is generated to describe boundary roughness while a tree structured wavelet packet is further processed to give behaviors of the local fractals at different frequency bands. Features extracted at each sub-bands are selected using Hausdorff distance for identification of skin tumors in order to reduce dimension in feature space. Experimental results show that features chosen are dominating clues to discriminate skin tumors.
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页数:4
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