基于FCM的彩色牛乳体细胞图象分割方法  

MILK SOMATIC CELL COLOR LMAGE SEGMENTATION BASED ON FUZZY C-MEANS ALGORITHM

作　　者：冯梅芳[1] 薛河儒[2] 

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：《内蒙古农业大学学报（自然科学版）》2008年第1期164-167,共4页Journal of Inner Mongolia Agricultural University(Natural Science Edition)

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1个重要问题。本文在分析了FCM算法的基础上,采用R和G2个颜色值对彩色牛乳体细胞图像进行了分割,并与利用R、G和B3个颜色值方法的进行了比较,实验结果表明,该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. In this paper, based on FCM algorithm, the milk somatic cell color images were segmented by using the R and G color values and compared with the result of using the R, G and B color values. The results of experiment show that the method not only had the good segmentation effect, but also enhanced the segmentation speed.

关 键 词：彩色图像 图像分割 FCM算法 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]