基于FFCM和分水岭算法的图像分割方法

Image segmentation method based on FFCM and watershed algorithm

提出了一种将FFCM算法与分水岭算法相结合的图像分割方法。针对均值聚类算法没有考虑图像空间信息的欠缺,本文将分水岭分割方法与均值聚类法相结合。由于分水岭分割后的图像灰度分布较为集中,故采用了快速模糊C均值聚类,并根据实验过程中得出的数据,分析了FFCM与FCM计算量的差别。最后将本文所采用的算法编程实现,得出了较为满意的分割结果。

A kind of image segmentation algorithm is introduced in this article. This algorithm integrates V-S algorithm and FF-CM. Because of the shortcomings of c-means clustering that this algorithm doesn’t take space information into account, I employ V-S algorithm as supplement means clustering. Because the values of pixels in an image focus in several levels, FFCM is adopted to take the place of FCM. According to the data got from the experiment, the differences between FFCM and FCM in the aspect of cal-culation is analyzed. Finally, satisfied result of the algorithm is get by putting the algorithm into practice.