基于优势背景色的细胞图像综合分割方法  

Synthesis segmentation of cell color image based on superiority background

作　　者：刘国庆[1] 傅蓉[1] 

机构地区：[1]南方医科大学生物医学工程学院,广东广州510515

出　　处：《计算机工程与设计》2011年第6期2080-2082,共3页Computer Engineering and Design

基　　金：广东省科技计划基金项目(2009B010800029)

摘　　要：提出了基于优势背景色的数学形态学综合分割算法对彩色细胞图像进行分割。根据彩色细胞图像RGB这3个通道的直方图分布,选择亮区像素比例最大的一个通道,该通道下图像反差较大,背景较平坦。对该通道进行灰度形态学重构,在保留前景形状的同时,对背景进行滤波,再进行直方图规划操作,进一步压缩背景灰度级,最后进行动态阈值分割。实验结果表明,该方法可自动进行,去除噪声效果好,分割出的图像很好地保留了细胞形态。The segmentation method for breast cell color image based on mathematical morphology is presented. On the basis of the histogram distribution of cell color image RGB, we selected the RGB channel with the largest pixel percentage in the lighted area, which presented images with obvious contrast and smooth background. Then, we conducted a morphological reconstruction of shaded area for the RGB channel and conducted background filtering with the foreground shape intact. We performed histogram matching and further narrowed down background gray level and finally we carried out dynamic threshold segmentation. The experiment revealed that the proposed method could be carried out automatically with excellent effect of noise eliminating and cell form maintained.

关 键 词：分割 数学形态学 直方图规定化 动态阈值 细胞图像 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]