尿沉渣图像有形成分分割及两类细胞识别研究  

Study on segmentation of visible components in urinary sediment images and identification of two types of cells

作　　者：徐晓蓉[1] Xu Xiaorong(Hunan University of Arts and Science,Changde 415000,China)

机构地区：[1]湖南文理学院

出　　处：《无线互联科技》2019年第13期119-120,共2页Wireless Internet Technology

基　　金：湖南省教育厅科研项目;项目名称：尿沉渣有形成分识别系统的算法研究与分析;项目编号：15C0939

摘　　要：尿检测是医院常见的一种检测项目,对患者的临床泌尿系统进行检测和诊断均具有非常重要的意义。文章将通过利用数字图像处理技术与模式识别理论,对各种有形成分进行分割定位,以此来将各种有形成分从背景中进行良好的分离,并通过对两类细胞:精子、管型细胞进行深入研究,从而根据其特征来分类识别。Urine test is a common test item in the hospital, which is of great significance for the detection and diagnosis of *patients clinical urinary system. This paper will use digital image processing technology and pattern recognition theory to segment and locate various tangible components, so as to separate them from the background, and conduct in-depth research on the two types of cells: sperm and tubular cells, so as to classify and identify them according to their characteristics.

关 键 词：尿沉渣图像 有形成分分割 两类细胞 

分 类 号：R446.12[医药卫生—诊断学] TP391.41[医药卫生—临床医学]