计算机应用与软件2012，Vol.29Issue(4)：256-259,265,5.
基于直方图和模糊C均值的彩色图像分割方法
COLOUR IMAGE SEGMENTATION ALGORITHM BASED ON HISTOGRAM AND FUZZY C-MEANS
摘要
Abstract
A novel segmentation algorithm of colour image based on the combination of histogram and fuzzy C-means in HSV colour space is proposed in this paper. Firstly the colour image is transformed into HSV space, and considering the singular property of this space, image pixels are divided into singular and non-singular points according to their saturation and intensity. For non-singular points, the 3D HSV colour histogram is built up, and the peaks are screen out using hill-climbing algorithm for pixels FCM clustering; for singular points, the 1D gray histogram is built up, and the peaks are screen out for histogram FCM clustering. Finally, the previous results of segmentation are merged together. Experimental results show that this method can effectively extract colour image of the object and have certain robustness.关键词
彩色图像分割/奇异点/FCM聚类/直方图/爬山算法Key words
Colour image segmentation/Singular point/FCM clustering/Histogram/Hill-climbing algorithm分类
信息技术与安全科学引用本文复制引用
陈坤,马燕,李顺宝..基于直方图和模糊C均值的彩色图像分割方法[J].计算机应用与软件,2012,29(4):256-259,265,5.基金项目
校世博专项(SK201053) （SK201053）
校基金项目(SK01028). （SK01028）
