基于改进Canny的彩色图像边缘检测算法  

A Color Image Edge Detection Algorithm Based on Improved Canny Method

作　　者：安帅帅 李庆忠[1] AN Shuai-shuai;LI Qing-zhong(College of Engineering,Ocean University of China,Qingdao 266100,China)

机构地区：[1]中国海洋大学工程学院,山东青岛266100

出　　处：《软件导刊》2023年第2期8-14,共7页Software Guide

基　　金：国家重点研发计划项目(2017YFC1405202);海洋公益性行业科研专项(201505002)。

摘　　要：彩色图像边缘在计算机视觉中起着至关重要的作用,但现存的彩色图像边缘检测算法存在对混合噪声抵抗性差、检测出的边缘连续性差和边缘漏检等问题。通过对彩色图像边缘检测算法的研究,提出一种改进的彩色图像边缘检测算法。该算法首先采用改进小波变换滤波方法在保持图像边缘的同时滤除图像的混合噪声;然后将滤波处理后的彩色图像由RGB颜色空间转换到CLElab颜色空间,并用提出的多方向色差计算公式计算色差幅值和方向,以提高边缘检测的完整性;最后,将以上处理方法与Canny的非极大值抑制和双阈值边缘处理相结合,从而完成彩色图像的边缘检测。实验结果表明,该算法查全率、查准率和整体精度均较高,分别达到了85.9%、96.7%和96.3%,比目前的色差边缘检测算法、亮度与颜色特征融合的边缘检测算法以及基于改进蚁群算法的边缘检测算法分别提高了3.8%~14.8%、1.6%~8%和1.3%~3.7%。基于改进Canny的彩色图像边缘检测算法可以有效去除混合噪声,并能检测出连续性和完整性较高的彩色边缘,有效提高了边缘检测率。Color image edges play a vital role in computer vision, but the existing detection algorithms have poor resistance to mixed noise, poor continuity of detected edges, and missed edges. Through the research of color image edge detection algorithm, an improved color image edge detection algorithm is proposed. The algorithm first uses the proposed improved wavelet transform filtering method to filter the mixed noise of images while maintaining the edges. Then the color image after filtering is converted from RGB to the CLElab color space, and the multidirectional color difference formula is proposed to calculate color gradient amplitude and phase angle for improving the completeness of the detected edges. Finally, the color image edge detection is accomplished by combining the above processing methods with the non-maximum suppression and double-threshold edge connection of the Canny method. The experimental results show that the proposed algorithm has high recall, accuracy and overall accuracy, reaching 85.9%, 96.7% and 96.3%,and compared with the existing color difference edge detection algorithm, brightness and color feature fused edge detection algorithm and improved colony based edge detection algorithm, it is improved by 3.8% to 14.8%, 1.6% to 8%, and 1.3% to 3.7%, respectively. The improved Canny-based color image edge detection algorithm can effectively remove mixed noise and detect color edges with high continuity and integrity, thus effectively improving the edge detection rate.

关 键 词：彩色图像边缘检测 CANNY 小波变换 边缘保持滤波 色差计算 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]