摘要
根据视觉识别边缘的感知特性,提出了一种基于直线感知增强的弱边缘的边缘提取算法。借鉴视觉的直线感知方式,针对弱边缘整体上呈直线分布的特点将其筛选出来,进行编组、连接和扩展。与Edison边缘提取算子的比较实验证明,本算法在对弱边缘的提取和虚假边缘的抑制上有显著增强。
Weak edges are similar to the background in intensity which causes small gradient value. The previous edge extraction algorithms are difficult in detecting weak edges with tight threshold, while with loose threshold will lead to lots of false edges caused by noise and interference. An edge extraction algorithm based on linear features perception is proposed. The visual mode of linear perception is used as reference; and weak edges are selected according to their linear distribution. The experiment results show that the proposed algorithm has a significant enhanced ability to extract weak edges and inhibit false edges comparing with Edison edge extraction algorithm.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第1期36-39,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40701154)
武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目((05)0401)
中国科学院遥感应用研究所基金资助项目
北京师范大学遥感科学国家重点实验室开放研究基金资助项目
关键词
边缘提取
弱边缘
直线感知
edge extraction
weak edge
linear perception
