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。
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.
出处
《遥感技术与应用》
CSCD
2004年第2期114-118,共5页
Remote Sensing Technology and Application
基金
国家自然科学基金资助(编号:49971055)。
关键词
数学形态学
边缘检测
多结构元素
小波变换
Mathematical morphology, Edge detection, Multi-structure elements, Wavelet transform
