基于HSV空间的肿瘤免疫组化阳性目标自动提取分析  

Automatic Extraction and Analysis Based on HSV Dimension in Tumour Immunohistochemical Positive Objects

作　　者：王伟智[1] 刘秉瀚[1] 施作霖[2] 

机构地区：[1]福州大学自动化研究所,福州350002 [2]福建省立医院,福州350001

出　　处：《中国体视学与图像分析》2006年第1期13-17,共5页Chinese Journal of Stereology and Image Analysis

基　　金：卫生部科学研究基金项目(WKJ2005-2-006);国家自然科学基金资助项目(60372027);福建省自然科学基金资助项目(A0310010)

摘　　要：目的提出一种基于HSV空间的免疫组化阳性目标自动提取分析方法。方法首先,依据阳性目标在HSV颜色空间的分布规律,联合使用了H分量、S分量和V分量作为阈值条件,结合最大熵单阈值分割算法,建立阳性目标分割提取模型;然后,提取阳性目标区域的特征参数,定量分析阳性目标的密度、强度等指标参数。结果实现了血管、细胞核、细胞浆和细胞膜等阳性目标的自动提取分析。结论试验结果可为建立免疫组化标准化的判断指标提供量化基础。Objective To put forward an automatic extraction and analysis method based on HSV dimension in immunohistochemical positive objects. Method Firstly, according to distributing rule of positive objects in HSV color dimension and maximal entropy segmentation arithmetic, set up the segmentation and extraction model of positive objects. Secondly, distill character parameter of positive objects region and process quantitative analysis of target parameter. Results Automatic extraction and analysis of positive objects is achieved. Conclusion The results attained can be as a ground work for further immunohistochemical standardization.

关 键 词：免疫组化 病理图像 阳性目标 HSV空间 

分 类 号：R730.4[医药卫生—肿瘤]