基于模糊C均值的图像分割

Based on the fuzzy c-means image segmentation

图像分割的质量直接影响后期的图像分析、识别和解释的质量。本文主要研究了基于模糊C均值算法的图像分割,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。实验结果表明文中用到的图像分割算法对图像分割的效果均优于对比算法的分割效果。

image segmentation quality direcdy influences the quality of the image analysis, identification and interpretation in the late. This paper mainly studied the image segmentation based on fuzzy c-means algorithm, it is obtained by optimizing the objective function for each sample points for all class center membership degree, and the category of the sample points in order to achieve the goal of automatic classifying sample data. The experimental results show that the use of image segmentation algorithm for image segmentation algorithm is superior to contrast the effect of the segmentation results.