基于数学形态学的深度图像分割

Range Image Segmentation Based on Mathematical Morphology

本文提出了一种基于数学形态学基本运算的深度图像分割方法。首先利用数学形态学算子来获得分别含有跳跃和尖顶边界的凸脊和凹谷图像，然后利用控制的区域生长过程得到最终的分割结果，用本文提出的方法成功地对许多实际的深度图像进行了分割，同传统的方法相比，这种方法的速度快，而且具有良好的抗噪声性能。

In this paper,we intreduce a range image segmentation method based on the basic operations of mathematical morphology. First the peak image containing jump edges and valley image containing roof edges are obtained using the mathematical morphological operators. Then the segmentation is accomplised by controlled region growing.This technique has been applied successfully to many real range images.In comparison with traditional methods, the proposed scheme has higher speed and better noise immunity.