A NEW ALGORITHM FOR UNSUPERVISED IMAGE SEGMENTATION BASED ON D-MRF MODEL AND ANOVA

被引：2

作者：

Sun, Haiyan ^{[1
]}

Wang, Wenwen ^{[1
]}

机构：

[1] Beihang Univ, Sch Math & Syst Sci, Minist Educ, LMIB, Beijing, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS | 2009年

关键词：

Image segmentation; D-MRF model; ANOVA;

D O I：

10.1109/ICNIDC.2009.5360817

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new algorithm for unsupervised image segmentation is proposed in this paper, which is based on the D-MRF model and ANOVA. Firstly ANOVA is incorporated to determine the number of clusters combining with several statistics. Compared with models based on information criteria, ANOVA avoids the parameter estimation error, which reduces time consumption. Secondly, histogram is adopted to verify the validity of the new algorithm. Secondly, D-MRF is adopted to setup modeling. Thirdly, based on MRF-MAP, image segmentation is realized through using ICM. In model fitting, DAEM is used to estimate parameters in image field; on the other hand, local entropy is simulated as parameters in label field. Finally, the validity and practicability of the new algorithm are verified by two experiments.

引用

页码：754 / 758

页数：5

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