应用科学学报 ›› 1998, Vol. 16 ›› Issue (1): 6-11.

• 论文 • 上一篇    下一篇

基于二维小波变换的图像边缘检测方法

解梅, 马争, 顾德仁   

  1. 电子科技大学
  • 收稿日期:1995-12-03 修回日期:1996-08-25 出版日期:1998-03-31 发布日期:1998-03-31
  • 作者简介:解梅:副教授,电子科技大学通信与信息学院,成都 610054
  • 基金资助:
    国家教委博士点基金

An Image Edge Detection Algorithm Based on Two-Dimensional Wavelet Transforms

XIE MEI, MA ZHENG, GU DEREN   

  1. University of Electronic Science and Technology of China, Chengdu 610054
  • Received:1995-12-03 Revised:1996-08-25 Online:1998-03-31 Published:1998-03-31

摘要: 在不同尺度下图像突变点可以通过它的小波变换局部极大值来检测.该文给出了一种基于二维二进小波变换的图像边缘提取方法.这种方法通过对二进尺度下二维小波变换图像局部极大值的检测得到图像的边缘信息.文中给出的实验结果表明该检测方法是十分有效的.

关键词: 二维小波变换, 图像边缘, 局部极大值

Abstract: The sharp variation of gray levels of an image, measured at different scales, can be detected from the local maxima of its wavelet transform. In this paper we describe an algorithm that can extract the edges of an image. The model is based on the two-dimensional dyadic wavelet transform. It provides information of the image boundaries by determining the local maxima of the two-dimension wavelet transform of an image at dyadic scale. Experimental results shows that this method is quite effective.

Key words: image edges, two-dimension wavelet transform, local maxima