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Analysis of Background Detection and Contrast Enhancement of MRI Images

by S. Sathya, R. Manavalan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 36 - Number 12
Year of Publication: 2011
Authors: S. Sathya, R. Manavalan
10.5120/4548-6436

S. Sathya, R. Manavalan . Analysis of Background Detection and Contrast Enhancement of MRI Images. International Journal of Computer Applications. 36, 12 ( December 2011), 16-21. DOI=10.5120/4548-6436

@article{ 10.5120/4548-6436,
author = { S. Sathya, R. Manavalan },
title = { Analysis of Background Detection and Contrast Enhancement of MRI Images },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 36 },
number = { 12 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 16-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume36/number12/4548-6436/ },
doi = { 10.5120/4548-6436 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:01.876261+05:30
%A S. Sathya
%A R. Manavalan
%T Analysis of Background Detection and Contrast Enhancement of MRI Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 36
%N 12
%P 16-21
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new method for poor lighting contrast enhancement of MRI images based on the Weber’s law. Background of MRI images is identified by using the contrast enhancement transformations. The contrast image transformation can be defined by two operators: opening and closing. The first operator employs information from block analysis, while the second transformation utilizes the opening by reconstruction. Opening by reconstruction is used to define the multi background notion. The objective of contrast operators is normalizing the grey level of an input MRI image by using the contrast operator. The normalization process will enhance the quality of MRI images by avoiding abrupt changes in intensity among different regions.

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Index Terms

Computer Science
Information Sciences

Keywords

Image background Morphological contrast Morphological filters by reconstruction Multi background Weber’s law

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