Detection of Red Blood Cell in Urine Micrograph

摘要：

The classical method of red cells examination in urine micrograph is counted by manpower, which has the following deficiencies such as low efficiency, strong subjectivity and poor reliability. This paper focuses on the detection of red blood cells in urine image captured under microscope by image processing. After the urine image is preprocessed by improved Sobel operator, red blood cells are localized using Hough Transform and their features, which are extracted and selected by Principal Component Analysis (PCA), can be classified with LDA (Linear Discriminant Analysis). It provides a reliable and convenient detective method for medical research.

关键词： Urine Micrograph Image analysis Sobel operator Principal Component Analysis (PCA)

作者: Guitao Cao Cai Zhong Ling Li Jun Dong

作者单位: Software Engineering Institute,East China Normal University Shanghai 200062,China Software Engineering Institute,East China Normal University Shanghai 200062,China Information office

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）