A Survey on Medical Brain Image Segmentation

Abstract

Image segmentation is the difficult space of analysis. The medical image processing is a branch of image processing that allows the analysis, image and processing of medical pictures of various imaging modalities PET, MRI, CT, and microscopy. This might assist the physicians for diagnosis the abnormalities within the internal organs of the humans during a higher manner that results in a correct treatment. The main aim of medical image process is to reveal the unwanted growth, which is hidden at intervals the body. Medical Imaging may be a non-invasive image of internal organs and tissues of the body. The Segmented MR images give an effective method to analyze the cerebrum tumors, as it demonstrates the gritty structure of the mind and the size and area of the tumor. As the structure of cerebrum involves various folds, cerebrospinal liquids, dark and white issue, the recognizable proof and discovery of tumor turns into a pivotal errand. However segmented MRI is important to have exact diagnosis for the aforesaid. This paper focused on the strength and weakness of different methods of existing MRI image segmentation techniques.

Keywords; Image processing, Segmentation, Clustering, Magnetic Resonance Image