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基于多结构元素的数学形态学的遥感图像边缘检测方法
引用本文:林卉,杜培军,舒宁,赵长胜.基于多结构元素的数学形态学的遥感图像边缘检测方法[J].遥感技术与应用,2004,19(2):114-118.
作者姓名:林卉  杜培军  舒宁  赵长胜
作者单位:1. 徐州师范大学国土信息与测绘工程系,江苏,徐州,221116
2. 中国矿业大学资源与环境学院,江苏,徐州,221008
3. 武汉大学遥感信息工程学院,湖北,武汉,430079
基金项目:国家自然科学基金资助(编号:49971055)。
摘    要:提出了一种边缘检测的有效算法。该算法在数学形态学的基础上,针对图像中噪声和边缘形态的不同建立了多结构元素,利用灰度形态变换原理进行边缘提取。实验表明,与经典的边缘检测算子相比,该算法具有很好的边缘提取能力,但其抗噪能力较差。为此,探讨性地提出了基于小波变换和数学形态学相结合的边缘提取方法。

关 键 词:数学形态学  边缘检测  多结构元素  小波变换
文章编号:1004-0323(2004)02-0114-05
修稿时间:2003年10月5日

Edge Detection Method of Remote Sensing Images Based on Mathematical Morphology of Multi-Structural Elements
LIN Hui,DU Pei-jun,SHU Ning\ ZHAO Chang-sheng.Edge Detection Method of Remote Sensing Images Based on Mathematical Morphology of Multi-Structural Elements[J].Remote Sensing Technology and Application,2004,19(2):114-118.
Authors:LIN Hui  DU Pei-jun  SHU Ning\ ZHAO Chang-sheng
Affiliation:LIN Hui~1,DU Pei-jun~2,SHU Ning~3\ ZHAO Chang-sheng~1
Abstract:This paper puts forward an effective algorithm for edge detection. On the basis of mathematics morphology, in the light of difference between noise and edge shape of RS images, this algorithm establishes multi-structure elements to detect edge by utilizing the grey form transformation principle, and the experiment indicates, compared with the classical edge detection operators, this algorithm possesses very good edge detection ability, but its resistance noise ability is relatively bad. For this reason, author probes into putting forward an edge detection method based on combining mathematical morphology with Wavelet transformation.
Keywords:Mathematical morphology  Edge detection  Multi-structure elements  Wavelet transform
本文献已被 CNKI 维普 万方数据 等数据库收录!
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