Neuro brain MRI anatomical labeling structures segmentation using adaptive interactive algorithm

This paper presents the primary objective of the segmentation of magnetic resonance images (MRI) of the brain is to correctly label certain areas of the image to highlight the brain tissues, both healthy and pathological. In practice, however, you come across often in images suffer from various kinds of artifacts that do fail the classification algorithms. Also the effect of noise, often present in the signal characterizing the MR images, makes the complex segmentation methods. The proposed work takes its value in two areas of the magnetic resonance imaging (MRI) segmentation. Proper segmentation can be performed on images without noise, therefore examines some of the algorithms that operate in the spatial domain and in the wavelet domain. There is also an advanced algorithm segmentation that is able to well classify the pixels of the images.