Description

Brain Tumor Segmentation and classification, are an integral part of both computational intelligence and pattern recognition in medical fields. In this process efficient algorithm was implemented in segmentation of brain tumor, is carried out by the thresholding and its features are extracted by means of the six different category of steps named as Gabor, Wavelets, Intensity, GLCM, Shape and Contour. After the segmentation, the above features are extracted and then then classification is done from the use of above features. Then this process involved here in medical field to detect brain tumor and its features classification method using the two different classifiers named as KNN and SVM, which helps to classify the Brain is Normal or Tumorous.