标记分水岭算法及区域合并的遥感图像分割

传统的分水岭算法通常对梯度图像进行无标记分割，其结果是容易造成过度分割。本文采用了一种基于标记的分水岭算法，首先,利用Sobel边缘算子对原遥感图像进行梯度重建，获得梯度幅值图像，同时计算待分割区域的周长、面积和形态因子，并对其进行标记； 然后,利用距离函数图标定种子法和等值线跟踪法获得初始分割图像； 最后，利用改进的区域合并方法获得最终的分割结果。实验结果表明了该方法的有效性。

SEGMENTATION OF THE REMOTE SENSING IMAGE BASED ON METHOD OF LABELING WATERSHED ALGORITHM AND REGIONAL MERGING

Segmentation of gradient images in the traditional watershed algorithm usually has no markers, which is likely to cause excessive segmentation. This paper presents a watershed algorithm based on the label. First, the gradient images are obtained through the reconstruction of gradient by using Sobel operator and, at the same time, the perimeter, area and morphology factors of the region are computed and labeled. Then, the initial image of segmentation is acquired by using the method of distance function icon for determining the seeds and the technique of isoline tracking. Finally, the last result of segmentation is obtained by using an improved method of regional merging. The experimental result shows the effectiveness of the method.