一种融合颜色和空间信息的彩色图像分割算法

A Color Image Segmentation Algorithm by Using Color and Spatial Information

提出了一种基于图像颜色和空间信息的彩色图像分割算法.该算法首先根据所提出的颜色粗糙度概念对图像进行颜色量化,并在此基础上使用增量式的区域生长算法发现颜色相近的像素之间的空间连通性,形成图像的初始分割区域.然后,根据融合了颜色和空间信息的区域距离,对初始分割区域进行分级合并,直到系统满足了所提出的停止区域合并的准则.最后,利用形态学的有关算法对分割区域的边缘进行平滑.实验证明,算法的分割结果与人的主观视觉感知具有良好的一致性.

An algorithm for color image segmentation, based on color and spatial information is proposed in this paper. First, color quantization is performed on an image based on the proposed color coarseness metric, and then an incremental region growing method is exploited to find the spatial connectivity of pixels with similar colors to form the initial segmented regions. Second, the initial regions are hierarchically merged based on the region distance defined by the color and spatial information. A criteria is proposed to decide the termination of the merging process. Finally, the erosion and dilation operators are used to smooth the edges of the segmented regions. The experimental results demonstrate that the color image segmentation results of the proposed approach hold favorable consistency in terms of human perception.