Brain Tumor Detection using Image Processing 

Project Domain / Category:

Image Processing

Abstract / Introduction:

Brain tumors can be detected using MRI images but it very tough to detect brain tumor in the early stages of tumor. MRI images are more susceptible to noise and other environmental interventions. To cure this tumor, it is better to identify it in the very early stage. The purpose of this project is to design a technique which can remove noise from the MRI images and present a very clear view of the image to the physician so that he/she can easily identify the tumor.

The MRI image data set for brain tumor can be collected from the following link:

The MRI images can be converted into grey scale images and then we apply some filtration techniques to remove the noise from the image dataset after that apply some segmentation techniques to identify the tumor.

Functional Requirements:
  1. User enters input from MRI
  2. MRI images should be converted into grey scale images before image processing
  3. Some filtration techniques can be used to remove noise of the image
  4. Image segmentation techniques are applied to detect tumor edges
  1. MATLAB version: R2013a
  2. Note: any available latest version of MATLAB can used


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