Texture analysis for classification of cervix lesions

被引:110
作者
Ji, Q [1 ]
Engel, J
Craine, E
机构
[1] Univ Nevada, Dept Comp Sci, Reno, NV 89557 USA
[2] Western Res Co, Tucson, AZ USA
基金
美国国家卫生研究院;
关键词
cervix lesion classification; colposcopic images; pattern recognition; texture analysis;
D O I
10.1109/42.896790
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a generalized statistical texture analysis technique for characterizing and recognizing typical, diagnostically most important, vascular patterns relating to cervical lesions from colposcopic images. The contributions of the research include: 1) the introduction of a generalized texture analysis technique based on the combination of the conventional statistical and structural textural analysis approaches by using a statistical description of geometric primitives; 2) the introduction of a set of textural measures that capture the specific characteristics of cervical textures as perceived by human. Experimental study with real images demonstrated the feasibility and promising of the proposed approach in discriminating between cervical texture patterns indicative of different stages of cervical lesions.
引用
收藏
页码:1144 / 1149
页数:6
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