摘要
为了提高图像直线检测的精度,提出了一种基于灰关联度分析的图像直线检测算法,首先确定参考序列和比较序列,然后计算以各像素点为中心形成的比较序列与参考序列之间的关联系数,得到图像的边缘后,再利用Hough变换对直线进行检测.通过与常规边缘检测算法比较可知:基于灰关联的边缘检测算法得到的结果更清晰,能较好地区分目标和背景.实例表明该方法能有效提高直线检测的精度.
In order to obtain better line detection, an algorithm of line detection based on grey relational analysis is presented. The reference series and compare series were defined. The relevant coefficients between the reference series and compare series were calculated to every pixel. The result of edge detection based on grey relational analysis may not only keep the image edge characteristics, but also obtain the clearer image through comparing with common methods. When the edge detection is proceeded, line is be detected by Hough transform. The examples show that better line detection could be achieved by using the method.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第2期68-70,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
湖北省教育厅科学技术研究项目(Q200618002)
关键词
图像处理
直线检测
HOUGH变换
灰关联分析
边缘检测
image proeessing
line detection
Hough transform
grey relational analysis
edge detection
