结合模糊聚类算法的图像分割方法

Image Segmentation Method Using Fuzzy Clustering Algorithm

在介绍聚类分析原理的基础上,比较了几种聚类分割算法,得出了模糊C-均值聚类方法在图像分割中的优势。最后,基于排列组合熵和灰度特征,结合模糊C-均值聚类算法对图像纹理进行分割。实验结果表明,该方法既能快速地分割图像,又具有较好的抗噪能力,分割效果较为理想。

In the introduction of clustering analysis,the basic principle of the comparison of several clustering segmentation algorithm,draw the c-means clustering in the image segmentation method of advantage.Finally,image texture segmentation based on the permutation and combination entropy and gray characteristics,combined with the fuzzy c-means clustering algorithm.The experimental results shown to be effective in image segmentation and has good performance of resisting noise,segmentation effect more ideal.