MRF model based image segmentation using hierarchical distributed genetic algorithm

被引：17

作者：

Kim, HJ ^{[1
]}

Kim, EY ^{[1
]}

Kim, JW ^{[1
]}

Park, SH ^{[1
]}

机构：

[1] Kyungpook Natl Univ, Dept Comp Engn, Taegu 702701, South Korea

来源：

ELECTRONICS LETTERS | 1998年 / 34卷 / 25期

关键词：

D O I：

10.1049/el:19981674

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An unsupervised method for segmenting noisy and blurred images is proposed. A Markov random field (MRF) model is used which is robust to degradation. Since this is computationally intensive, a hierarchical distributed genetic algorithm (HDGA) is used which is unsupervised and parallel. Experimental results show that the proposed method is effective at segmenting real images.

引用

页码：2394 / 2395

页数：2

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