Novel technique for multiresolution color image segmentation

被引：9

作者：

Gao, JB ^{[1
]}

Zhang, J

Fleming, MG

机构：

[1] Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53201 USA

[2] Med Coll Wisconsin, Dept Dermatol, Milwaukee, WI 53209 USA

来源：

OPTICAL ENGINEERING | 2002年 / 41卷 / 03期

关键词：

image segmentation; color image segmentation; multiresolution processing; Markov random fields; mean field theory; image analysis;

D O I：

10.1117/1.1432315

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We describe a novel technique for color image segmentation. This technique includes three components: a color space transformation, Markov random field expectation-maximization (MRF-EM) segmentation, and a multiresolution implementation termed "narrow band." The color space transformation, from RGB to LUV, contributes to a perceptually reasonable segmentation result. The MRF-EM algorithm enables unsupervised segmentation and enforces a region smoothness constraint. The narrow-band, multiresolution implementation confines fine resolution processing to a small fraction of the image, thereby achieving acceleration over traditional multiresolution schemes. Experimental results with medical and TV images demonstrate the efficacy of the proposed technique. (C) 2002 Society of Photo-Optical Instrumentation Engineers.

引用

页码：608 / 614

页数：7

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