The graphical user interface attached gives the output for brain tumor detection by preprocessing feature extraction and classification.it also gives whether the image is normal or affected




File list:
BRAIN TUMOR
..........\testimages
..........\..........\1.jpg

..........\..........\2.jpg

..........\..........\3.jpg

..........\..........\4.jpg

..........\..........\5.jpg

..........\..........\6.jpg

..........\..........\7.jpg

..........\..........\8.jpg

..........\..........\9.jpg

..........\trainimages
..........\...........\1.jpg

..........\...........\10.jpg

..........\...........\11.jpg

..........\...........\12.jpg

..........\...........\13.jpg

..........\...........\14.jpg

..........\...........\15.jpg

..........\...........\2.jpg

..........\...........\3.jpg

..........\...........\4.jpg

..........\...........\5.jpg

..........\...........\6.jpg

..........\...........\7.jpg

..........\...........\8.jpg

..........\...........\9.jpg

..........\1.jpg

..........\10.jpg

..........\11.jpg

..........\12.jpg

..........\13.jpg

..........\14.jpg

..........\15.jpg

..........\2.jpg

..........\3.jpg

..........\4.jpg

..........\5.jpg

..........\6.jpg

..........\7.jpg

..........\8.jpg

..........\9.jpg

..........\CreateDatabase.m
..........\data.m
..........\database.txt
..........\eg.m
..........\EigenfaceCore.m
..........\FisherfaceCore.m
..........\main.asv
..........\main.fig
..........\main.m
..........\Recognition.m