摘要
提出了一种基于SUSAN算法、灰色系统理论和数学形态学结合的飞行器结构特征提取与识别的方法.首先利用SUSAN算法从背景中提取飞行器目标的结构边缘信息,通过灰度的窗口变换和图像相加法实现目标增强;然后用灰色系统理论检测出飞行器目标的结构特征边缘,同时利用形态学算子对飞行器进行闭运算,利用种子填充算法识别出飞行器目标区域.实验结果表明:该方法对于飞行器目标的跟踪、结构特征提取以及事后判读有重要的意义,同时验证了该方法的可行性.
An algorithm based on SUSAN algorithm, gray system theory and mathematical morphology for extraction and recognition of the structure feature of aircraft image was given. The structure edge of aircraft was extracted from the background using SUSAN operator. Based on the information of edge the target was strengthened with the origin image and window translation of gray, then gray rational analysis was applied to detect the edge of aircraft , and close algorithm was used with mathematical morphology. The aircraft target region was recognized with seed-filled algorithm. The experimental result indicated that the algorithm had very important meaning to target tracking, structure feature detecting and interpretation. The feasibility of the method was proved.
出处
《电子器件》
CAS
2007年第3期1028-1030,共3页
Chinese Journal of Electron Devices
关键词
SUSAN算法
灰关联分析
目标识别
数学形态学
SUSAN algorithm
gray rational analysis
object recognition
mathematical morphology
