International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Texture Analysis Of Tumor From Mri Images Using Gabor Pattern
Extraction of a feature in medical images is a tedious process. The main part of the extraction is the segmentation of
the images for improved quality in medical diagnosis. Many algorithms and methods are used for the segmentation of brain
tumor images with the help of the image processing tools. In our proposed paper, we extract the brain tumor from the MRI
images. The first step is the segmentation of the pre-processed tumor images. The algorithm used for the segmentation is the
fuzzy c-means clustering algorithm which gives high accuracy of the segmented image. The second step is the feature
extraction where shape and texture methods are used to find the features for classification. Here we use the Non - Local
Gabor XOR pattern (NLGXP) operator for feature extraction. This operator encodes the Gabor phase than the Gabor
magnitude. This proved to be efficient in finding texture of tumor from an image.
Author - G.Thamarai Selvi, K.Duraisamy
Citation - G.Thamarai Selvi ,
G.Thamarai Selvi, K.Duraisamy " Texture Analysis Of Tumor From Mri Images Using Gabor Pattern " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-2,Issue-4 ( Apr, 2014 )