摘要
针对图像中存在的弱边缘对比度低、模糊、难以探测的问题,本文提出一种新的并且原理简单的边缘检测算法。该方法根据梯度在边缘处的直观响应,结合直方图的统计特性以及分块操作的局部处理能力,综合而成分块梯度直方图。然后,通过相邻块内部的梯度峰值的互确认操作,得到对梯度强弱不敏感的边缘,从而能够获得图像中更多的特征信息。实验验证表明,该算法的性能在同等算法和经典的边缘检测算子中表现良好,并对噪声具有不敏感性。
A new and simple edge detection method is proposed. Combined with the intuitive appearance of the gradient on the edge, the statistics property of the histogram and the local processing ability of block-based operation, the Blocked Gradient Histogram （BGH） is generated. Then, mutual recognition about the peaks of BGH between neighboring blocks is implemented so that the edge is not sensitive to the gradient intensity. Accordingly, more edges are detected. Results and performance of the proposed method are better than that of other involved ones. Moreover, it is not sensitive to the noise.
出处
《光电工程》
CAS
CSCD
北大核心
2009年第8期100-104,共5页
Opto-Electronic Engineering
基金
国家自然科学基金资助项目(60802084)
关键词
图像处理
边缘检测
分块
梯度
直方图
image processing
edge detection
block-based process
gradient
histogram
