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ISJ Intelligent Technology


Article ID: 1319

Received: 2017-07-13
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http://int-math.com/article.php?id=1319

S.L.JANY SHABU,DR.C.JAYAKUMAR
DETECTION OF BRAIN TUMOUR BY IMAGE FUSION USING SVM CLASSIFIER


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Article type: Short Note
Abstract: Tumour is defined as the abnormal increases of the tissues. Brain Tumour is an abnormal mass of tissue in which cells get increase in size and multiply uncontrollably apparently unchecked by the mechanisms that control normal cells. The proposed system is going to detect this brain tumour of a particular person. That is done by fusion of output of segmented image and input image. Image fusion is a process of combining complementary information from two images of the same patient into an image. The resultant image consists of more informative the usual images alone. The images are pre-processed for feature extraction and data analysis of image is done based on Histogram feature for localizing the tumour. The morphological operations like dilation and erosion are applied on the image for image segmentation using SVM classifier. After this step the output image obtained after segmentation is fused with the input image for knowing the exact position of the tumour in the brain. This technique is used for detection of Brain Tumour.
Key words: convolution filter, svm classifier segmentation, image selection.

 
 
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