摘要
针对影像中梯度较小的模糊边缘,提出了一种自适应梯度的概念和边缘检测算法。基于新的梯度概念,可以根据刀刃曲线的实际形状自适应地计算影像中每一点的梯度,比较理想地消除边缘的渐变效应(模糊)对边缘检测的不利影响。试验表明,这种梯度计算方法对模糊边缘的检测具有较好的效果。
A new self-adaptive gradient is proposed for the detection of vague edges which is difficult to be detected according to traditional gradient. Based on the newly defined gradient, a new edge detecting algorithm is put forward. The edge detection result of test image shows that the new algorithm can improve the detecting rate of vague edges.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2005年第6期518-520,共3页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40001018)。
关键词
边缘检测
自适应梯度
灰度剖面分析
edge detection
self-adaptive gradient
analysis of image profile
