A comparative study for brain tumor detection in MRI images using texture features

Abstract

Abstract MRI images are a very rich source of texture. Analysis of texture is crucial for the automation of tumor detection from MRI images. By analyzing what information a specific texture analysis method exploits to construct a feature vector, this chapter presents various texture analysis methods, understanding the ingredients of these methods and recognizing their merits and limitations. For a comparison between the state-of-the-art texture analysis methods, this chapter presents a common experimental protocol. A comprehensive treatise of four texture analysis methods with three classifiers is implemented and evaluated. Thus, this study aims to provide panoramas of texture analysis methods for the detection of a brain tumor from MRI images and reviews related works of the past.