基于分水岭算法的尿沉渣图像处理方法研究  

The method research of urine sediment image processing based on watershed algorithm

作　　者：逄涵涵[1] 郑冰[1] 

机构地区：[1]中国海洋大学信息科学与工程学院,山东青岛266100

出　　处：《微计算机信息》2012年第4期153-154,129,共3页Control & Automation

摘　　要：医学图像处理是计算机网络和多媒体通信技术在医学上的一项具体应用,已在世界各地得到广泛的重视和应用。尿沉渣显微镜检查是临床检验的一项重要手段,对肾脏疾病的诊断治疗具有十分重要的作用。目前尿沉渣检查多采用显微镜下人工判别。利用计算机技术对临床上尿沉渣图像进行自动分析,将极大提高其临床鉴别的准确性,同时也显著降低临床检查人员的劳动强度。本文利用计算机显微技术对尿沉渣有形成分进行摄取,预处理和特征提取,实现了尿沉渣有形成分自动分割,其分割速度及可重复性都达到了医学临床的要求。Medicine image processing is the medicine concrete application of computer network and the multimedia communication, which has obtained the widespread and the application in each place of the world. The urine microscope is an important way for clinical laboratory, and it also influences the diagnosis and treatment of kidney disease. At present, urine analysis is artificially identified under the microscope. Using computer microscope to clinically analyze urine image automatically will greatly improve accuracy and reduce the labor of the visible urinary sediment component. In this paper, computer microscope is used to up take, pre-treat and take feature extraction of urine; it achieves automatic segmentation of physical components of urine, the speed and repetition of which also attain the requirement of clinical medicine.

关 键 词：尿沉渣 图像处理 分水岭算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]