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An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches

Published on February 2013 by K. Shri Sarika, P. Sudha
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International Conference on Research Trends in Computer Technologies 2013
Foundation of Computer Science USA
ICRTCT - Number 1
February 2013
Authors: K. Shri Sarika, P. Sudha
036a91a5-742b-45f5-9f82-e43c674b087d

K. Shri Sarika, P. Sudha . An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches. International Conference on Research Trends in Computer Technologies 2013. ICRTCT, 1 (February 2013), 9-13.

@article{
author = { K. Shri Sarika, P. Sudha },
title = { An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches },
journal = { International Conference on Research Trends in Computer Technologies 2013 },
issue_date = { February 2013 },
volume = { ICRTCT },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 9-13 },
numpages = 5,
url = { /proceedings/icrtct/number1/10801-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Research Trends in Computer Technologies 2013
%A K. Shri Sarika
%A P. Sudha
%T An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches
%J International Conference on Research Trends in Computer Technologies 2013
%@ 0975-8887
%V ICRTCT
%N 1
%P 9-13
%D 2013
%I International Journal of Computer Applications
Abstract

Medical image processing plays a major role in diagnosing of various human diseases, these images may be affected from noises i. e. unwanted signals or disturbance during acquisition thus it leads to disorder in identifying the affected human organs, in order to overcome this problem various pre-processing techniques are involved. The main objective is to segment the MRI medical image through extraction of the edges for the betterment of diagnosis process of an affected human organ. Edge extraction is done by adding the morphological operations such as erosion, dilation etc with existing edge detectors such as sobel, compass operators. This paper involves in evaluating the quality of an image and edge strength through parameters PSNR, MSE, Edge stability measures.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Medical Image Edge Detection Morphological Operators