基于混合聚类算法的图像分割

Image Segmentation Based on Mixed Cluster

本文将像素空间中的图像分割问题转化为特征空间中的数据聚类问题处理,并设计了一种基于遗传算法和模糊c均值算法的混合聚类算法,实现图像分割。实验表明,使用该算法能取得较好的图像分割效果。

The paper turns image segmentation problem in pixels space into data clustering in feature space, and it designs a mixed cluster algorithm based on both genetic algorithm and fuzzy c-means algorithm to realize image segmentation. Experiments show that the mixed algorithm can gain better result.