Detection of Brain Tumour by Image Fusion using SVM Classifier

Abstract

Tumor is defined as the abnormal increases of the tissues. Brain Tumor 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 tumor 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 tumor. 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 tumor in the brain. This technique is used for detection of Brain Tumor.

Keywords: convolution filter, svm classifier segmentation, image selection.