MRI Brain Tumour Classification Using SURF and SIFT Features

The features of an image are very important to classify different images. The classification of images is done by feature extraction using Speeded Up Robust Features (SURF) and Scale Invariant Feature Transform (SIFT) methods for extraction. SIFT method is used to detect the images with larger corners and extract them. SURF, the name itself represents a speed method to extract the features when compared to SIFT. KNN classifier is used to classify the images based on the features extracted from both techniques. So these combined processes are applied to classify tumour and non-tumour images more accurately.