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Segmentation of Preprocessed MR and CT Images Containing Tumors using Edge Detection and Watershed Segmentation

Published on September 2012 by Sonali Patil, V. R. Udupi
Confluence 2012 - The Next Generation Information Technology Summit
Foundation of Computer Science USA
CONFLUENCE - Number 1
September 2012
Authors: Sonali Patil, V. R. Udupi
6c1bd634-8f99-47c1-ab8c-887241bfda79

Sonali Patil, V. R. Udupi . Segmentation of Preprocessed MR and CT Images Containing Tumors using Edge Detection and Watershed Segmentation. Confluence 2012 - The Next Generation Information Technology Summit. CONFLUENCE, 1 (September 2012), 32-36.

@article{
author = { Sonali Patil, V. R. Udupi },
title = { Segmentation of Preprocessed MR and CT Images Containing Tumors using Edge Detection and Watershed Segmentation },
journal = { Confluence 2012 - The Next Generation Information Technology Summit },
issue_date = { September 2012 },
volume = { CONFLUENCE },
number = { 1 },
month = { September },
year = { 2012 },
issn = 0975-8887,
pages = { 32-36 },
numpages = 5,
url = { /specialissues/confluence/number1/8373-1007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Confluence 2012 - The Next Generation Information Technology Summit
%A Sonali Patil
%A V. R. Udupi
%T Segmentation of Preprocessed MR and CT Images Containing Tumors using Edge Detection and Watershed Segmentation
%J Confluence 2012 - The Next Generation Information Technology Summit
%@ 0975-8887
%V CONFLUENCE
%N 1
%P 32-36
%D 2012
%I International Journal of Computer Applications
Abstract

Segmentation of images aims at dividing areas corresponding to different objects. There are two approaches for image segmentation, one is based on discontinuities and other is based on similarities. These approaches can be used for enhancing and extracting the tumor area in MRI/CT images. In this paper Sobel and Extended Sobel edge operators are applied on the MRI / CT images containing tumors. It is noticed that the MR/CT images contain unwanted portions that make segmentation difficult. If such images are segmented without any preprocessing for removal of the unwanted portions, it results into over segmentation. In this paper, we propose to use Preprocessed MRI/CT image for the segmentation by using Sobel and extended Sobel operators. Results of both the methods on original and preprocessed images are displayed. The results of Watershed segmentation algorithm on original and preprocessed images are also displayed. It is observed that, the appropriate preprocessing of MR/CT images helps to significantly reduce the problem of over segmentation of these images still retaining the tumors.

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Index Terms

Computer Science
Information Sciences

Keywords

Mri Ct Preprocessing Segmentation Edge Operator Extended Edge Operator Watershed