基于HSI修正空间信息融合的彩色白细胞图像分割方法  

Segmentation Method of Colour White Blood Cell Image Based on HSI Modified Space Information Fusion

作　　者：缪慧司 梁光明[2] 刘任任[1] 丁建文 

机构地区：[1]湘潭大学信息工程学院,湘潭411105 [2]国防科技大学电子科学与工程学院,长沙410075 [3]爱威科技股份有限公司研发中心,长沙410013

出　　处：《生物医学工程学杂志》2016年第2期303-307,共5页Journal of Biomedical Engineering

摘　　要：本文提出一种基于HSI修正空间信息融合的白细胞自动分割方法。首先将细胞原图转换至HSI彩色空间,由于H分量分段函数变换公式的不连续,导致原图中视觉均匀的细胞浆区域在此通道中均匀性变差。对色调计算公式进行了修改,然后依据白细胞核、浆在H、S、I通道分布特点提取核、浆、红细胞和背景区域信息,利用信息融合理论和方法构造融合图像Ⅰ和只存在细胞浆和少量干扰的融合图像Ⅱ,分别提取细胞核和细胞浆。最后标记细胞核、浆,得到分割结果。实验结果表明:该算法对白细胞图像分割准确性高、鲁棒性强且具有普适性。This paper presents a kind of automatic segmentation method for white blood cell based on HSI corrected space information fusion.Firstly,the original cell image is transformed to HSI colour space conversion.Because the transformation formulas of H component piecewise function was discontinuous,the uniformity of uniform visual cytoplasm area in the original image was lead to become lower in this channel.We then modified formulas,and then fetched information of nucleus,cytoplasm,red blood cells and background region according to distribution characteristics of the H,S and I-channel,using the theory and method of information fusion to build fusion imageⅠand fusion imageⅡ,which only contained cytoplasm and a small amount of interference,and fetched nucleus and cytoplasm respectively.Finally,we marked the nucleus and cytoplasm region and obtained the final result of segmentation.The simulation results showed that the new algorithm of image segmentation for white blood cell had high accuracy,robustness and universality.

关 键 词：白细胞 图像分割 HSI空间 信息融合 区域生长 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]