现代防御技术2011，Vol.39Issue(3)：152-156,5.DOI:10.3969/j.issn.1009-086x.2011.03.032
基于改进SUSAN算法的红外目标边缘检测
Edge Detection of Infrared Object Based on Improved SUSAN Algorithm
赵静 1刘兴淼 1李忠科 1胡波2
作者信息
- 1. 第二炮兵工程学院,陕西西安,710025
- 2. 第二炮兵工程设计研究院,北京,100011
- 折叠
摘要
Abstract
The traditional SUSAN algorithm is improved from three aspects , including: ①adaptive select threshold to increase the robotization of the algorithm; ②make use of double geometric threshold to enhance the restrain noise ability of the algorithm; ③add the target judge gene to improve detect efficiency. The simulation results have shown that the improved algorithm outperforms the traditional SUSAN algorithm in terms of both the de-noising performance and the edge detects efficiency. For low-contrast infrared image the improved algorithm can reduce more than 40％ calculate time and more than 70％ calculate time for high-contrast infrared image.关键词
边缘检测/SUSAN算法/自适应阈值/双几何阈值/目标判断因子Key words
edge detection/ smallest univalue segment assimilating nucleus ( SUSAN) algorithm/adaptive threshold / double geometric threshold / target judge gene分类
信息技术与安全科学引用本文复制引用
赵静,刘兴淼,李忠科,胡波..基于改进SUSAN算法的红外目标边缘检测[J].现代防御技术,2011,39(3):152-156,5.
