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计算机工程 ›› 2012, Vol. 38 ›› Issue (3): 196-199. doi: 10.3969/j.issn.1000-3428.2012.03.066

• 人工智能及识别技术 • 上一篇    下一篇

黑色素瘤表面不均匀性的轮廓描述与分析

华秀秀,马 莉   

  1. (杭州电子科技大学生命信息与仪器工程学院,杭州 310018)
  • 收稿日期:2011-08-04 出版日期:2012-02-05 发布日期:2012-02-05
  • 作者简介:华秀秀(1987-),女,硕士研究生,主研方向:模式识别,智能系统;马 莉,教授、博士
  • 基金资助:
    国家自然科学基金资助项目(60775016)

Contour Description and Analysis of Surface Inhomogeneity for Melanoma

HUA Xiu-xiu, MA Li   

  1. (College of Life Information and Instrument Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)
  • Received:2011-08-04 Online:2012-02-05 Published:2012-02-05

摘要: 为解决皮肤肿瘤表面不均匀性的度量问题,构建一种肿瘤表面灰度不均匀性的虚拟轮廓描述模型。提出虚拟轮廓不规则性和不对称性描述子,将肿瘤表面2D灰度分布的不均匀性转换为虚拟轮廓的不规则性,提取虚拟轮廓的不规则性和不对称性特征,依据Hausdorff距离进行特征选择和融合,实现基于虚拟轮廓不规则性和不对称性的肿瘤表面不均匀性分类。实验结果表明,该模型能实现数据降维,提高分类准确率。

关键词: 表面不均匀性, 虚拟轮廓描述, 轮廓不规则性, 轮廓不对称性, 特征选择, 特征分类

Abstract: A virtual contour model of surface inhomogeneity is proposed in the paper aiming at measuring surface inhomogeneity of skin tumors. In addition, a novel feature cluster, including irregular and asymmetric descriptors of virtual contour, is constructed for measuring surface unevenness. The 2D surface unevenness of intensity distributions is converted to the irregularity of the virtual contour. Then features with irregularity and asymmetry are extracted. Furthermore, the features are selected and fused on Hausdorff distance metrics to implement the classification of skin tumors for the surface inhomogeneity using the irregularities and asymmetry of the virtual contours. Experimental results show that the model not only can achieve the dimension reduction, but also can improve the classifier performance.

Key words: surface inhomogeneity, virtual contour description, contour irregularity, contour asymmetry, feature selection, feature classification

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