Detection and Segmentation of Brain Tumor by Using Modified Watershed Algorithm and Thresholding to Reduce Over-Segmentation
Tahamina Yesmin, Harsh Lohiya, Pinaki Pratim Acharjya · 2023
Digital image processing plays a crucial part in the detection, observation, and diagnosis of a brain tumor. From MRI images, automatic detection of a brain tumors is perhaps the most difficult and critical task in present medical imaging research. This paper proposes a modified marker-based watershed technique to be utilized for segmentation of images; before that, some pre-processing techniques were utilized for noise removal; and then, for the final segmentation processes, the Otsu’s threshold technique is also applied to get better segmented and noise-free images with the marker-controlled watershed algorithm. Statistical measurements and graphical representations of the proposed method and their results are also explained in this paper. The proposed techniques and experiments are executed through the MATLAB 2021 software.