改进的分水岭分割算法在遥感图像分割中的应用
首发时间:2010-12-08
摘要:为了解决分水岭算法造成的过度分割及二值化阈值选择问题,本文提出了一种新的算法。首先利用数学形态学算法对图像进行增强处理,接着用Sobel算子计算获得梯度图像并设置一阈值,然后合并小于一定面积的区域后进行分水岭分割,最后根据阈值选择算法选取分割阈值,在此基础上二值化得到感兴趣目标。实验结果表明,该方法能很好的抑制过度分割,快速的获取感兴趣目标。
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Application of Remote Sensing image Segmentation Based on Improved Watershed Segmentation Algorithm
Abstract:In this paper a new algorithm is proposed to solve threshold selection and the over-segmentation caused by watershed segmentation algorithm First, the image is enhanced based on Mathematic Morphology. Then the gradient image, which is calculated by the Sobel operator is used for over-segmentation and a threshold is set. And then the certain area is chosen for different kind of image, so it leads to the homogeneous regions in the segmentation result. Finally the interest target is received based on threshold selection algorithm. The experimental results show that this method can be powerful to restrain the over-segmentation and the interesting target can be fast received.
Keywords: Mathematic Morphology Watershed Segmentation Algorithm Remote Sensing image Mean
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