红外技术Issue(3)：229-233,5.
基于顶帽变换的红外图像模糊边缘检测算法
A Fuzzy Edge Detection Algorithm Based on Top-hat Transform for the Infrared Images
摘要
Abstract
With the infrared imaging technology is widely used in the fields of aeronautics and astronautics, the national defense fields, the agriculture engineering and medical engineering fields and so on, the infrared image edge information obtaining is of great significance. An improved image fuzzy edge detection algorithm is proposed in this paper. First, membership functions are redefined to simplify computation and decrease processing time. Secondly, the top-hat transform is used in the selection of segmentation threshold instead of the provisions threshold in the traditional algorithm. The traditional threshold value is improved in order to make the segmentation more accurate. The experimental results show that the lower infrared image gray edge information is preserved via proposed algorithm in this paper. The detecting results are more accurate. The run time is decreased obviously than the traditional Pal-king algorithm. The algorithm in this paper can be used in the fields of infrared target detection and recognition.关键词
红外图像/模糊边缘检测/顶帽变换/红外目标探测/红外目标识别Key words
infrared image/fuzzy edges detection/top-hat transform/infrared target detection/infrared target recognition分类
信息技术与安全科学引用本文复制引用
耿亮,李东兴,杜钦君,郭春彬,任菡,李爱军..基于顶帽变换的红外图像模糊边缘检测算法[J].红外技术,2015,(3):229-233,5.基金项目
国家自然科学基金，编号61175090；山东省自然科学基金，编号ZR2014EL024；山东省高校科技计划，编号J14LN76。 （）
