摘要
在深入研究柔性数学形态学边缘检测算法的基础上,提出比传统柔性形态学膨胀和腐蚀算子具有更强鲁棒性的柔性形态学膨胀和腐蚀算子,在此基础上提出柔性形态学梯度边缘检测算法,实验证明了该算法对噪声特别是脉冲噪声有很强的抑制作用,并能很好地检测出图像的边缘信息。
In-depth study of the edge detection algorithm based on soft mathematical morphology,the article proposes novel soft morphology dilation and erosion operators,which achieves more robust than traditional soft morphology dilation and erosion operators.Based on the novel soft morphological operators,the gradient edge detection algorithm is presented.The experiment proves that the method have very strong robustness,especially to the impulse noise and can detect very good image edge information.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第26期38-40,共3页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of Chinaunder Grant No60672135)
西北工业大学研究生创业种子基金资助项目(No200656)
关键词
图像处理
边缘检测
柔性数学形态学
形态学梯度
image processing
edge detection
soft mathematical morphology
morphological gradient
