摘要
主要研究了均值聚类图像分割问题。针对传统的聚类图像分割算法对图像地分割精度较低等问题,提出一种基于模糊控制的C-均值聚类快速图像分割新方法。本文采用快速模糊C-均值聚类算法对图像分割。实验结果表明,图像分割边缘清晰,分割效果明显优于传统的聚类图像分割算法。
This paper mainly studies the means clustering image segmentation. In view of the traditional clustering image segmentation algorithm for image segmentation accuracy is low problem, put forward a kind of fuzzy control based on C - means clustering image segmentation method. Methods firstly in clustering image segmentation algorithm based on fast, using fuzzy C - means clustering algorithm for image segmentation. The experimental results show that the algorithm in clustering, to optimize the performance of the same premise, image segmentation edge clear, segmentation better than tra- ditional clustering algorithm for image segmentation.
出处
《科技通报》
北大核心
2012年第4期206-208,共3页
Bulletin of Science and Technology
关键词
图像分割
模糊
均值聚类算法
优化
image segmentation
fuzzy c-means clustering algorithm
optimization
