摘要
提出一种用于高分辨率遥感图像边缘检测的灰度形态学方法,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的膨胀、腐蚀、开启和闭合等算法进行边缘提取。实验表明,与经典的边缘检测算子相比,该算法保持图像的细节特征,较好地解决边缘检测精度与抗噪声性能的协调问题,具有很好的边缘提取能力。本文给出了用Matlab6.5实现的具体代码。
Edge detection from high-resolution remote sensing image by mathematical morphology operation is presented. In this algorithm the multi-structural elements are built by the noise and edge characteristic information, and dilation, erosion, opening and closing methods for edge examination are discussed based on mathematical morphology transformation. Experiment indicates, compared with other classical edge detection operators, this method has better effect, also simple and flexible nimble. This algorithm is run on matlah6.5 software.
出处
《测绘与空间地理信息》
2006年第2期23-25,共3页
Geomatics & Spatial Information Technology
关键词
灰度形态学
边缘检测
多结构元素
matlab
高分辨率遥感图像
mathematical morphology
edge detection
multi-structural elements
matlab
high resolution remote sensing image
