光电工程, 2009, 36 (8): 100, 网络出版: 2009-10-09  

基于分块梯度直方图的边缘检测

Edge Detection Based on Blocked Gradient Histogram
作者单位
西北工业大学 自动化学院,西安 710072;[西北工业大学]
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。
Abstract
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.

陈亮, 郭雷, 刘坤, 黄雷. 基于分块梯度直方图的边缘检测[J]. 光电工程, 2009, 36(8): 100. CHEN Liang, GUO Lei, LIU Kun, HUANG Lei. Edge Detection Based on Blocked Gradient Histogram[J]. Opto-Electronic Engineering, 2009, 36(8): 100.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!