Evolutionary Algorithm for Segmentation of Medical Images by Region Rrowing

被引：0
|
作者：
El Allaouil, Ahmad [1 ]
Nasri, M'barek [2 ]
Merzougui, Mohamed [2 ]
Mirhisse, Jamal [2 ]
机构：
[1] Univ Mohammed I AL HOCEIMA, ENSAH, Dept MI, Oujda, Morocco
[2] Univ Mohammed I OUJDA, ESTO, LABO MATSI, BP 473, Oujda, Morocco
来源：
2016 13TH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION (CGIV) | 2016年
关键词：
Segmentation; Region growing; Evolutionary algorithm;
D O I：
10.1109/CGIV.2016.32
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Image segmentation by region growing method is robust fast and very easy to implemented. but it suffers. from: the threshold problem, initialization, and sensitivity to noise. Evolutionary algorithms are particular methods for optimizing functions: they have a great ability to find the global optimum of a problem. In this paper, we used evolutionary algorithms to get over the three problems. We have proposed a segmentation method based on region growing and evolutionary algorithms. The proposed approach is validated on four hundred synthetic Images and medical. The results show the good performance of this approach.
引用
收藏
页码：119 / 124
页数：6
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