A Novel Algorithm for Enhancing an Image of Brain Tumor

Authors(2) :-S. Shri Tharani, Dr. B. Sumathi

The process that deals with digital images to make some changes for user needs with some computer algorithm is called digital image processing. There are various computer algorithms available for picture/ image processing. Image Enhancement is one of the easiest technique applied on images for extracting hidden details for analysis highlight some features by changing brightness and contrast. Processing on Biomedical imaging for better diagnostic and treatment can be done using image enhancement. MRI images and CT are the commonly used biomedical images that helps in evaluating the present condition of an organ or tissue and observe a patient for diagnostic and treatment. Among various other algorithms like SMQT, Histogram Equalization, V Transform, the V transform algorithm is used to enhance a brain tumor image. The proposed system improves the accuracy, exactness, computational speed of segmentation. The diagnosing is not properly maintained only with the use of MRI images. So the computer based diagnosis are used. In the future work this method can be used for voice processing also.

Authors and Affiliations

S. Shri Tharani
Department of Computer Science, CMS College of Science and Commerce, Coimbatore, India
Dr. B. Sumathi
Department of Computer Science, CMS College of Science and Commerce, Coimbatore, India

Biomedical Imaging, Brain Tumor, MRI Image, Image Enhancement, SMQT, Histogram, V transform

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 186-190
Manuscript Number : CSEIT183340
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Shri Tharani, Dr. B. Sumathi, "A Novel Algorithm for Enhancing an Image of Brain Tumor", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.186-190, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT183340

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