Open AccessIdentification of Brain Tumor using MATLAB
Author(s) -
G Aswani,
I N V V A M S N Murthy,
Kaumudi Devi,
N Veerababu,
Mahadeva Swamy
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst060611
Subject(s) - prewitt operator , computer science , matlab , segmentation , identification (biology) , artificial intelligence , edge detection , process (computing) , image segmentation , computer vision , image processing , graphical user interface , pixel , field (mathematics) , pattern recognition (psychology) , image (mathematics) , programming language , biology , botany , mathematics , pure mathematics
Brain Tumor detection and removal is one medical issue that still remains challenging in the field ofbiomedicine. MRI is most often used for the detection of tumors, lesions, and other abnormalities in softtissues, such as the brain. This project is about detecting Brain tumors from MRI images using an interface ofGUI in Mat lab. Using the GUI, this program can use various combinations of segmentation, filters, and otherimage processing algorithms to realize the simplest results. Here We start the process by filtering the imagewith the help of Prewitt horizontal edge- emphasizing filter. The next step for detecting tumors is "watershedpixels." The most important part of this project is that all the Mat lab programs work with GUI “Matlabguide”