Minimum Time Delay and More Efficient Image Filtering Brain Tumour Detection with the help of MATLAB

Brain tumor detection is one of the intriguing task in the medical field still now. Earlier they uses pneumoencephalography and cerebral angiography had the drawback, CT and MRI scan techniques with the help of surgeons to providing a higher quality result in image processing. It is difficulty in distinguishing between brain tumor tissue and normal tissue because it was similar in color. Hence Brain tumor must be analyzed more precisely in order to cure it. In this paper Tumor Detection with help of MATLAB image processing catches three stages Pre-processing, Processing and Post-processing in morphological detection. After the getting MRI report first stage is pre-processing which is converting the original RGB image to gray-scale image and then Gaussian high pass filter for noise reduction In the second stage processing system for pixel enhancement we uses Median filter and in third stage is the post-processing which Entropy Filter., Standard Deviation Filter(SDF), Weiner Filter, Gradient Magnitude, Regional Maxima for various different-different results. In this post processing which is followed by algorithm not only automatically create report but also very less delay time and get better brain tumor detection more efficient.