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基于数学形态学的自适应边缘检测新算法
引用本文:徐国保,王骥,赵桂艳,尹怡欣,谢仕义.基于数学形态学的自适应边缘检测新算法[J].计算机应用,2009,29(4):997-999,.
作者姓名:徐国保  王骥  赵桂艳  尹怡欣  谢仕义
作者单位:1. 北京科技大学,信息工程学院,北京,100083;广东海洋大学,信息学院,湛江,广东,524088
2. 广东海洋大学,信息学院,湛江,广东,524088
3. 北京科技大学,信息工程学院,北京,100083
基金项目:国家自然科学基金,湛江市科技攻关项目,广东海洋大学资助项目 
摘    要:考虑到在形态学中,不同形状的结构元素和不同尺度的元素在去噪声和保持图像细节方面的作用是不同的,提出了一种基于多结构多尺度自适应形态边缘检测算法。对一般边缘检测算子做了改进,增加了边缘细节信息。通过计算检测后的边缘信息熵,自适应确定权值系数。将多结构元素检测的边缘和多尺度元素检测的边缘做融合处理,得到最终的图像边缘。实验结果表明,与几种经典边缘检测算法相比,所提出的算法能有效地抑制图像的多种噪声对边缘检测的影响,较好地保持图像边缘细节,自适应提取完整连续边缘。

关 键 词:边缘检测  形态学滤波  信息熵  多结构多尺度  自适应
收稿时间:2008-10-06
修稿时间:2008-11-27

Adaptive algorithm of edge detection based on mathematical morphology
XU Guo-bao,WANG Ji,ZHAO Gui-yan,YIN Yi-xin,XIE Shi-yi.Adaptive algorithm of edge detection based on mathematical morphology[J].journal of Computer Applications,2009,29(4):997-999,.
Authors:XU Guo-bao  WANG Ji  ZHAO Gui-yan  YIN Yi-xin  XIE Shi-yi
Affiliation:1.School of Information Engineering;University of Science and Technology Beijing;Beijing 100083;China;2.College of Information;Guangdong Ocean University;Zhanjiang Guangdong 524088;China
Abstract:As different structure elements and different scale elements play different roles in removing noise and retaining image details, an adaptive algorithm of edge detection based on multiple structure and multi-scale elements was presented. Firstly, general edge detectors were improved to increase the details of image edge. Secondly, the weights were determined adaptively by calculating the entropies of the edges-detected. Finally, the edges of multiple structure elements detection and the ones of multi-scale elements detection were fused to achieve the final image edges. The experimental results show that the proposed algorithm, compared with a few classic algorithms of edge detection, can effectively eliminate the influence of noise variety on the edge detection, better retain the image details, and adaptively detect the complete and successive edges.
Keywords:edge detection  morphology filtering  information entropy  multiple structure and multi-scale  adaptive
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