Application of Morphological Operations In Human Brain CT Image With SVM

摘要：

In this paper, computer aided diagnosis is applied to the brain CT image processing. We compared performance of morphological operations in extracting three types of features I.e. Gray scale, symmetry and texture. SVM, MLPNN and RBFNN are used to build classifiers for normal and abnormal brain CT image. It shows that morphological operation can improve the accuracy. Moreover, method of SVM has better result than MLP and RBF neural network.

关键词： CT image gray scale tezture symmetry morphological operations SVM MLPNN

作者: Ali Reza Fallahi Mohammad Pooyan Hojat Mohammadnejad

作者单位: Department of Biomedical Engineering,Faculty of Engineering Shahed University Tehran,Iran

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）