An Approach for PCA and GLCM Based MRI Image Classification

Abstract

Automatic recognition system for medical images is a challenging task in the field of medical image processing. Medical images acquired from different modalities such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), etc. which are used for the diagnosis purpose. In the medical field, brain tumor classification is a very important phase for the further treatment. Human interpretation of a large number of MRI slices (Normal or Abnormal) may lead to misclassification hence there is need of such an automated recognition system, which can classify the type of the brain tumor. In proposed method, a hybrid technique for automatic classification of MRI images. The proposed method consists of two stages: feature extraction and classification. In the first stage, features are extracted from images using PCA and GLCM. In the next stage, extracted features are fed as input to PNN-RBF classifier. It classifies the images between normal, benign and malignant images.