What is Digital Extraction of Brain Tumor from MRI using MATLAB?
Digital Extraction of Brain Tumor from MRI using MATLAB is a MATLAB-based technical project and simulation model. The main theme of the project is to extract the brain tumors from the MRI images with some noise removal functions, segmentation and morphological operations which are the basic concepts of image processing using MATLAB software.
Project Methodology
Medical image processing is the most challenging and emerging field now a days. Processing of
MRI images is one of the part of this field. This paper describes the proposed strategy to
detect & extract brain tumour from patient’s MRI scan images of the brain. This method
incorporates with some noise removal functions, segmentation and morphological operations
which
are the basic concepts of image processing. Detection and extraction of tumour from MRI scan
images of the brain is done by using MATLAB software. Tumour is defined as the abnormal
growth
of the tissues.
Verified MATLAB Simulation Code Demonstration
Syntax-highlighted executable code demonstration for Digital Extraction of Brain Tumor from MRI using MATLAB:
MATLAB
image_processing_demo.m
% MATLAB Image Processing & Edge Detection
clc; clear; close all;
% Load & Preprocess Input Image Data
[X, Y] = meshgrid(-100:100, -100:100);
img = double(sqrt(X.^2 + Y.^2) < 50);
img_noisy = imnoise(img, 'gaussian', 0, 0.01);
% Apply 2D Gaussian Denoising Filter
h = fspecial('gaussian', [5 5], 1.0);
img_filtered = imfilter(img_noisy, h);
% Compute Sobel Gradient Magnitudes
[Gmag, ~] = imgradient(img_filtered, 'Sobel');
fprintf('Image Processing & Denoising Completed Successfully!\n');