计算机应用与软件Issue(2)：222-225,4.DOI:10.3969/j.issn.1000-386x.2014.02.060
基于颜色空间和核函数的FCM图像分割算法
FCM IMAGE SEGMENTATION ALGORITHM BASED ON COLOUR SPACE AND KERNEL FUNCTION
摘要
Abstract
First,we introduce and apply the colour histogram to FCM clustering algorithm to determine the initial number of clusters and initial cluster centres of the fuzzy clustering.Then we bring spatial information to FCM to reconstruct the new membership iteration function containing neighbourhood information.Finally,we replace the original Euclidean distance in original algorithm with kernel-induced distance, and optimise the features of experimental image.The algorithm is also evaluated and compared.Experimental results show:this algorithm hasa good quality and effect in image segmentation,and has a stronger anti-nose ability as well.关键词
模糊聚类/颜色空间/核函数/空间信息Key words
Fuzzy clustering/Colour space/Kernel function/Spatial information分类
信息技术与安全科学引用本文复制引用
丁政建,孙进..基于颜色空间和核函数的FCM图像分割算法[J].计算机应用与软件,2014,(2):222-225,4.基金项目
国家自然科学基金项目 （）
