基于云模型的彩色图像分割方法

Color Image Segmentation Method Based on Cloud Model

以云模型理论为基础分析彩色图像分割概念,研究已有的彩色图像分割方法,并与云模型相结合,提出基于云模型的彩色图像分割方法。该方法在HSV颜色空间对彩色图像进行非均匀量化,并寻找量化后图像的基本直方图,最后通过云模型的“3En规则”对图像进行前景/背景分割。通过与K均值算法、IS-RSC算法进行比较,实验结果表明了该方法对彩色图像分割的有效性。

Through analyzing the concept of color image segmentation, studying the existing image segmentation methods and combining the cloud model, the method of color image segmentation based on cloud model is proposed. The method quantifies color image in HSV color space, and looks for the histogram of the quantized image, the finally, foreground of image is segmented from background by the“3En Rules”of the cloud model. Experimental results show the validity of the proposed method com-paring with K-means and IS-RSC algorithm.