A review of segmentation and edge detection methods for real time image processing used to detect brain tumour

The most complicated structure of the human body is the brain and the segmentation of the brain needs to be precise and accurate But to do this it is very difficult because the shape is not in regular and investigation is difficult. Also segmentation is not easy which will consume lots of time and skilled manpower is required. Real time image processing requires processing on large data of image pixels in a stipulated time. Reconfigurable device such as FPGAs can be program to process on large image data and required processing time on image can be reduced by deploying parallelism techniques in algorithm. Different segmentation based approaches have been reviewed and compared over here to extract the tumor from set of brain images. Also different edge detection approaches have been reviewed and compared. Detecting Edge is principal means used in many algorithm for image processing.