改进的Canny算法及其在图像编码中的应用  

Improved Canny Algorithm and Its Application in Image Coding

作　　者：史晶[1] 彭进业[1] 王大凯[1] 张欢[1] 

机构地区：[1]西北大学信息科学与技术学院,西安710069

出　　处：《计算机工程》2009年第21期206-207,210,共3页Computer Engineering

基　　金：国家部委基金资助项目;陕西省自然科学基金资助项目(2006F42)

摘　　要：分析仅以梯度模值作为依据的Canny边缘检测算法的不足,提出一种以曲率加权梯度模值为判据的改进算法以满足基于边缘信息的图像编码压缩对边缘提取的严格要求。实验结果表明,改进的Canny算法能更有效地抑制对于表征图像对象无重要意义的杂乱边缘,更好地反映图像的结构特征,性能优于现行的Canny算法。This paper analyzes the shortage of the current Canny edge detection algorithm which only uses the Gradient Module（GM） to characterize edges and proposes an improved algorithm based on Curvature-Weighted Gradient Module（CWGM）, which meets the special need of edge extraction for image coding compression. Experimental results show that the improved Canny edge detection algorithm can compress the stray edges which are non-significant to object representation more effectively, and its performance is better than the current Canny algorithm.

关 键 词：边缘检测 CANNY算法 图像编码压缩 曲率加权梯度模值 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]