计算机应用 ›› 2011, Vol. 31 ›› Issue (11): 3018-3021.DOI: 10.3724/SP.J.1087.2011.03018

• 图形图像技术 • 上一篇    下一篇

基于递归滤波的边缘检测算法

薛寺中   

  1. 江南大学 数字媒体学院,江苏 无锡 214122
  • 收稿日期:2011-04-11 修回日期:2011-06-21 发布日期:2011-11-16 出版日期:2011-11-01
  • 通讯作者: 薛寺中
  • 作者简介:薛寺中(1964-),男,江苏宜兴人,讲师,主要研究方向:图像处理、模式识别、计算机视觉。

Edge detection algorithm based on recursive filtering

XUE Si-zhong   

  1. School of Digital Media, Jiangnan University, Wuxi Jiangsu 214122, China
  • Received:2011-04-11 Revised:2011-06-21 Online:2011-11-16 Published:2011-11-01
  • Contact: XUE Si-zhong

摘要: 针对包含不同程度噪声数字图像的边缘检测问题,提出了两种建立在房顶型模糊边缘模型基础上的平滑和边缘检测滤波器。首先用这些滤波算子以三阶递归的形式实现图像的平滑及梯度计算,再进行非极大值抑制及双阈值的边缘检测连接。实验结果表明,该方法得到的梯度图像均比Canny和Deriche滤波算子清晰,所得边缘图像也更加完整,检测时间也少于其他方法。

关键词: 边缘检测, 递归滤波, 平滑滤波器, 模糊边缘模型

Abstract: For the edges detection problem of digital images containing different degrees of noise, two smoothing and edge detection filters, based on a model of crest-line blurred edge contours, were proposed. First, these filters were used to achieve image smoothing and gradient calculation by the third-order recursive form, and then non-maximum suppression and dual-threshold edge detection were performed. The experimental results show that the proposed method can obtain more clear gradient images, accurate detected edge and less computational time than the ones with Canny and Deriche operators.

Key words: edge detection, recursive filtering, smoothing filter, blurred edge model

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