Implementation and Evaluation of the Image Segmentation Algorithm

被引：0

作者：

Chen, Lijun ^{[1
]}

Ma, Yongjie ^{[1
]}

机构：

[1] Northwest Normal Univ, Collage Phys & Elect Engn, Lanzhou 730070, Peoples R China

来源：

INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY II, PTS 1-4 | 2013年 / 411-414卷

关键词：

image segmentation; 2-D maximum entropy; improved genetic algorithm; UMAf;

D O I：

10.4028/www.scientific.net/AMM.411-414.1314

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In order to achieve better image segmentation and evaluate the segmentation algorithm, a segmentation method based on 2-D maximum entropy and improved genetic algorithm is proposed in this paper, and the ultimate measurement accuracy criterion is adopted to evaluate the performance of the algorithm. The experimental results and the evaluation results show that segmentation results and performance of the proposed algorithm are both better than the segmentation method based on 2-D maximum entropy method and the standard genetic algorithm. The segmentation of the proposed algorithm is complete and spends less time; it is an effective method for image segmentation.

引用

页码：1314 / 1317

页数：4