属性多层次结构关系在白细胞形态六分类技术中的应用  

The Application of Attribute Multi-Hierarchical Relationship in the Six-Classification Technology of Leucocyte Morphology

作　　者：郝连旺[1,2] 洪文学[1] 

机构地区：[1]燕山大学电气工程学院,河北秦皇岛066004 [2]燕山大学里仁学院,河北秦皇岛066004

出　　处：《中国生物医学工程学报》2015年第5期533-539,共7页Chinese Journal of Biomedical Engineering

基　　金：国家自然科学基金(61273019);河北省科学技术研究与发展计划科学支撑计划项目(12270329)

摘　　要：具有混合属性的白细胞形态是有着属性多层次结构关系的复杂系统,通过层次化表达属性、变层次利用属性,可以有效实现其六分类识别技术。在分析白细胞形态特征属性多层次结构关系基础上,获取白细胞六种类型目标的决策关系和伴生关系,设计白细胞形态属性多层次结构分类器,从而建立基于属性多层次结构关系的白细胞形态六分类识别方法。对952幅医院实际白细胞图像数据集做对比实验,取得95.98%的平均分类精度,明显高于其他3种经典算法,表明该方法具有较好的分类性能,也证明复杂系统属性多层次结构关系在图像模式识别领域具有重要的理论意义和应用价值。Leukocyte morphology with mixed attributes is a complex system with attribute multi-hierarchical relationship. The six-classification technology of leukocyte morphology can be achieved effectively by sufficient expression and variable level use of hierarchical attribute. A novel method of leukocyte morphology classification based on attribute multi-hierarchical relationship was proposed. The decision relationships and associated relationships of classification were obtained based on analysis of leukocyte morphology features attribute multihierarchical relationship. The classifier was established according to the relationships and reached an average classification accuracy of 95. 98% significantly higher than the other 3 kinds of classical algorithm in a contrast experiment to a dataset of 952 hospital actual leukocyte images. Experimental results show that the method has a better classification performance,and also prove that attribute multi-hierarchical relationship of complex system has brilliant perspective on pattern recognition.

关 键 词：形式概念分析 属性多层次结构 白细胞形态 分类识别 

分 类 号：TP391.42[自动化与计算机技术—计算机应用技术]