Symmetric axis detection for images based on Hough algorithm  

基于Hough算法的图像对称轴检测（英文）

作　　者：李晓磊[1] 潘晋孝[1] 刘宾[1] 陈平[1,2] 

机构地区：[1]中北大学信息探测与处理山西省重点实验室,山西太原030051 [2]中国科学院自动化研究所中国科学院分子影像重点实验室,北京100190

出　　处：《Journal of Measurement Science and Instrumentation》2015年第4期342-346,共5页测试科学与仪器（英文版）

基　　金：National Natural Science Foundation of China(No.61171179,No.61227003)

摘　　要：To extract the symmetric axis o{ rigid target accurately, a symmetric axis detection method is proposed based on Hough algorithm. A bullet is selected as a research object. Firstly, the original image is collected and the characteristics of the target image are analyzed. Because the symmetric axis detection depends on the edge detection of the image, it is necessary to use relevant operators to detect the edge and get all possible edge points. Secondly, all possible symmetric axes related to all contour points acquired are determined by Hough transform, and all possible inclination angles and intercepts and their ranges are obtained. Finally, by using least squares method, when the distance between the symmetric points of the contour points from the one edge and the contour points from the other edge is the minimum, the optimal symmetric axis is got. Simulation resuits show that the proposed method can improve noise-resistance and precision of symmetric axis detection and has certain practical value.

关 键 词：Hough transform syrrunetric axis least squares method 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]