Efficient Way to Analysis the Texural Features of Brain Tumor MRI Image Using Glcm

Authors : Ashwini kukreja; Arun Kumar Wadhwani; Sulochana Wadhwani

Volume/Issue : Volume 5 - 2020, Issue 7 - July

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/30GyvSI

DOI : 10.38124/IJISRT20JUL603

Tumor spotting and elimination is one problematic issue in medical science that still remains. Untimely imaging techniques CT and MRI imaging techniques aid specialist in coming up with preferable perception, but because of high variability in tumor tissue of divergent patient process come up with laborious risks .In this paper, tumor image processing concern the three stages, namely pre-processing, segmentation and feature extraction using GLCM. After the accession of the source MRI image, it is preprocessed by converting the original image to grayscale image, then use of filters for removal of noise and using arithmetic operators for enhancement, then the stage of thresholding segmentation and watershed segmentation is done followed by a morphological operation to detection of tumor, thereby texture analysis using Gray Level Co -Occurrence Matrix. The above proposed procedures and techniques is applicable in accomplishing the reports axiomatically in less span of time.

Keywords : Brain Tumor, Mri Image, Segmentation, Glcm.


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31 - December - 2023

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