Self-Adaptive Threshold Based on Differential Evolution for Image Segmentation

被引：3
|
作者：
Guo, Peng [1 ]
Li, Naixiang [1 ]
机构：
[1] Tianjin Agr Univ, Dept Comp Sci & Informat Engn, Tianjin, Peoples R China
来源：
2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING ICISCE 2015 | 2015年
关键词：
Self Adaptive Threshold; 2-Dimentional Entropy; Image Segmentation; Differential Evolution;
D O I：
10.1109/ICISCE.2015.108
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：
Thresholding is a simple but efficient method for image segmentation, but selections of threshold depend on experiences and trials. We present an approach to generate self-adaptive threshold for image segmentation in this paper, threshold is obtained with 2-dimensional entropy and optimized with Differential Evolution. To obtain a relatively fair threshold, we run Differential Evolution algorithm 30 times, and take average values of 30 times results as threshold, and use it to image segmentation, experimental results show high performance of our method.
引用
收藏
页码：466 / 470
页数：5
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