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Reseach Article

Image Segmentation of MRI Images using KMCG and KFCG Algorithms

Published on None 2011 by H. B. Kekre, Tanuja Sarode, Saylee Gharge, Kavita Raut
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 4
None 2011
Authors: H. B. Kekre, Tanuja Sarode, Saylee Gharge, Kavita Raut
43367bdf-44ed-4a06-9567-d79e95fd5cc9

H. B. Kekre, Tanuja Sarode, Saylee Gharge, Kavita Raut . Image Segmentation of MRI Images using KMCG and KFCG Algorithms. International Conference and Workshop on Emerging Trends in Technology. ICWET, 4 (None 2011), 1-5.

@article{
author = { H. B. Kekre, Tanuja Sarode, Saylee Gharge, Kavita Raut },
title = { Image Segmentation of MRI Images using KMCG and KFCG Algorithms },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 4 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/icwet/number4/2088-algo365/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A H. B. Kekre
%A Tanuja Sarode
%A Saylee Gharge
%A Kavita Raut
%T Image Segmentation of MRI Images using KMCG and KFCG Algorithms
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 4
%P 1-5
%D 2011
%I International Journal of Computer Applications
Abstract

Segmentation of medical images is very important nowadays since the images for diagnosis by Radiologist are huge in number. In this paper, texture based segmentation algorithms are considered for comparison. The problem with some of these methods is, they need human interaction for accurate and reliable segmentation. Segmentation based on Gray level co-occurrence matrix gives better result for variance but computational complexity is more. Watershed has less complexity but gives over segmentation. Segmentation using Kekre’s Median Codebook Generation (KMCG) and Kekre’s Fast Codebook Generation (KFCG) algorithm show proper tumor demarcation by avoiding other part of the image.

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Index Terms

Computer Science
Information Sciences

Keywords

Segmentation GLCM Watershed KMCG KFCG