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
Abstract :
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.
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.