A new approach for classification of human brain CT images based on morphological operations

Ali Reza Fallahi | Mohammad Pooyan | Hassan Khotanlou

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=1389
Date :  2010/01/10
Publish in :    journal of biomedical science and engineering
DOI :  https://doi.org/10.4236/jbise.2010.31011

Keywords : CT Image, Feature Extraction, Classification, Morphological Operations, Automatic Diagnosis

Abstract :

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Automatic diagnosis may help to decrease human based diagnosis error and assist physicians to focus on the correct disease and its treatment and to avoid wasting time on diagnosis. In this paper computer aided diagnosis is applied to the brain CT image processing. We compared performance of morpho- logical operations in extracting three types of features, i.e. gray scale, symmetry and texture. Some classifi- ers were applied to cla ssify normal and abnormal brain CT images. It showed that morphological op- erations can improve the result of accuracy. More- over SVM classifier showed better result than other classifiers.