Application of Morphological Operations in Human Brain CT Image With SVM
Ali Reza Fallahi, Mohammad Pooyan, Hojat Mohammadnejad · 2009
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.