(Project in course Digital Image Processing | Aug'17 - Dec'17)
Tumor detection and its removal are amongst the medical issues that still pose a challenge in the field of biomedicine. This is largely due to noise corruption and so the elimination of these noise becomes an integral part of the image processing aspect.
With that in mind, I decided to experiment and apply a variety of spatial domain filters to MRI scans of the brain to develop a robust prototype which could isolate and highlight the tumor region along with some of its attributes and displaying it on the interactive GUI.
The various processing steps included:
Image sharpening (high pass filter)
Noise removal (median filter)
Segmentation (Otsu & Watershed filters)
Morphological operations (dilation & erosion filters)
(Click here to view the report of the project)