Study on Urinary Sediments Classification of SVM
A kind of computer microscopic urinary sediment analyzer is introduced in this paper. The system categorizes the visible urinary sediment components based on the technology of image processing and support vector machine (SVM). In order to solve inaccuracy question, a method which combines characteristic parameter computed by contour tracking algorithm and SVM is proposed. Through amount of reply training and testing, the proposed method computes the multi-classification which resolves the question of multi-classification of urinary sediment visible component. It is proved in experiment that this method has not only improved classify precision and speed but also reduced compute time and memory size so that it meets the requirement of urinary sediment visible component classification.
Zhongxing Ji Xuemei Liu Zhijian Sun
Architectural Design Institute Qingdao Technological University Qingdao, 266033 P.R. China Administration of State - Owned Assets Qingdao Technological University Qingdao,266033 P.R. China College of science Qingdao Technological University Qingdao,266033 P.R. China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）