摘要
边缘检测是图像处理中一个重要的研究课题.针对传统图像边缘检测算法对噪声敏感的问题,本文在分析图像像素灰度信息的基础上,建立了一个改进的确定方向信息测度的方法,并利用震动滤波对边缘检测图像进行增强,该方法在滤除噪声的同时,能有效地保留图像的基本目标信息,正确提取图像的边缘.
Image edge detection is an important researching topic about image processing. For the traditional image edge detection methods sensitive to noise, we propose a modified method of orientation information measure, detection image edge, by analyzing the pixel＇s gray-level information of the images. Then the shock filter is introduced to enhance the detected image edges. The simulation experimental results show that the proposed method can detect the image edges properly and effectively with denoising the added noise, while preserving the basic image information.
出处
《数学研究》
CSCD
2011年第2期214-218,共5页
Journal of Mathematical Study
基金
湖北省教育厅重点项目(D20111305)
湖北省教育厅中青年项目(Q20101309)
关键词
方向信息测度
边缘检测
震动滤波.
Orientation information measure
Image edge detection
Shock filter.
