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
收藏
页码：2394 / 2395
页数：2
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