摘要
为了克服分水岭变换过分割的缺陷,进而应用于复杂遥感图像的分割,本文对传统分水岭变换方法进行了改进。具体地,利用形态滤波技术对原始图像实施平滑,利用形态标记方法对梯度图像实施重建,并在此基础上进行分水岭变换。试验结果表明,改进后的分水岭变换方法对遥感图像的分割效果良好,并且具有多尺度的特点,能够适应遥感分类与信息提取的需求。
Although watershed transform is a classical and powerful algorithm for image segmentation,it has the drawback of over-segmentation,which is more obvious when applied to remotely sensed imagery.In this study,morphological techniques are introduced to improve the conventional algorithm.First,the original image is smoothed by morphological filtering;then,the gradient image is reconstructed by morphological marking;finally,watershed transform is employed to obtain the ultima segment.Experimental results show that the improved method is successful in overcoming the problem and producing an accurate and multi-scale segment,thus is quite qualified for classification and information extraction of remotely sensed imagery.
出处
《遥感信息》
CSCD
2009年第6期3-6,共4页
Remote Sensing Information
关键词
分水岭变换
遥感图像
图像分割
形态滤波
形态标记
watershed transform
remote sensing imagery
image segmentation
morphological filtering
morphological marking
