尿沉渣细胞图像的预处理和分割研究综述  

Preprocessing and Segmentation for Urinary Sediment Cell Image

作　　者：张小琴[1] 李懿[1] 鲜雪梅[1] 郝葆青[2] 

机构地区：[1]阿坝师范高等专科学校,四川汶川623002 [2]西南民族大学,四川成都610041

出　　处：《吉首大学学报（自然科学版）》2012年第4期49-52,共4页Journal of Jishou University(Natural Sciences Edition)

基　　金：阿坝师范高等专科学校科研资助项目(ASB12-29)

摘　　要：尿沉渣有形成分镜检是医院临床3大常规检验项目之一,能为肾脏、泌尿道、循环系统和感染性疾病等病理诊断和鉴别提供依据.详细地综述了尿沉渣细胞图像的特点、现有预处理方法和图像分割算法,为进一步细化尿沉渣有形成分提供了理论改进依据.Microscopic urinary sediment examination is the three regular clinical inspection items in hospi- tal, It can provide the basis for pathological diagnosis and identify of the kidney, urinary tract, circulation system and infectious disease. This paper reviews cell characteristics of the urinary sediment images, the existing methods of pretreatment and image segmentation algorithm. For further refinement of the visi- ble urine sediment compositions, this paper provide reference for theoretical improvement.

关 键 词：尿沉渣 去噪 图像分割 算法 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]