Automatic Red Blood Cell Classification for MICAD based on PSO-CSVM

摘要：

　　The automatic classification of erythrocyte is critical to clinic blood-related disease treatment in Medical Image Computer Aided Diagnosing(MICAD).After 3D height field recovered from the varied shading,the depth map of each point on the surfaces is applied to calculate Gaussian curvature and mean curvature,which are used to produce surface type label image.Accordingly the surface is segmented into different parts through multi-scale bivariate polynomials function fitting.The count of different surface types is used to design a classifier for training and classifmg the red blood cell by means of support vector machine and particle swarm optimization.The experimental result shows that this approach is easily to implement and promising.

关键词： Red Blood Cell MICAD PSO CSVM

作者: Ruihu Wang

作者单位: School of Computer Science, Chongqing University, China;Departmeng of Science and Technology, Chongqing University of Arts and Science, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 1952-1956

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）