模糊C-均值算法在彩色牛乳体细胞图像分割中的应用  

Application of Fuzzy c-Means Algorithm in the Color Images Segmentation of Milk Somatic Cells

作　　者：冯梅芳[1] 薛河儒[2] 闫克裕[1] 

机构地区：[1]内蒙古农业大学机电工程学院,呼和浩特010018 [2]内蒙古农业大学计算机与信息工程学院,呼和浩特010018

出　　处：《内蒙古大学学报（自然科学版）》2009年第3期330-335,共6页Journal of Inner Mongolia University：Natural Science Edition

基　　金：教育部"春晖计划"资助项目(Z2004-2-15006)

摘　　要：图像分割是进行图像处理的基础,是图像工程技术中的一个重要问题.在分析了FCM算法的基础上,采用RB和G颜色值分别对彩色牛乳体细胞图像进行初分割,再对其分割结果利用融合技术进行二次分割,并与利用R、G和B三个颜色值方法进行比较,实验结果表明,二次分割方法不仅具有良好的分割效果,而且提高了分割速度.Image segmentation is the basis of the image understanding, and one of the most important issues in the area of the image technique. Based on the analysis of FCM algorithm,milk somatic cell color images were preliminary segmented by the method using the RB color values and G color value respectively,and then the two preliminary results were second segmented with the image fusion technology. The final segmentation results were compared with that got by the method of using the R,G and B color values. The experimental results show that the method not only had the good segmentation effect ,but also improved the segmentation speed.

关 键 词：彩色图像 图像分割 FCM算法 融合 牛乳体细胞 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] S823[自动化与计算机技术—计算机科学与技术]