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An Improved Technique for Gray Scale Image Enhancement based on Multiscale Morphological Approach

by Pawandeep Kaur, Mandeep Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 14
Year of Publication: 2012
Authors: Pawandeep Kaur, Mandeep Singh
10.5120/7840-1020

Pawandeep Kaur, Mandeep Singh . An Improved Technique for Gray Scale Image Enhancement based on Multiscale Morphological Approach. International Journal of Computer Applications. 50, 14 ( July 2012), 27-30. DOI=10.5120/7840-1020

@article{ 10.5120/7840-1020,
author = { Pawandeep Kaur, Mandeep Singh },
title = { An Improved Technique for Gray Scale Image Enhancement based on Multiscale Morphological Approach },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 14 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number14/7840-1020/ },
doi = { 10.5120/7840-1020 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:48:18.515433+05:30
%A Pawandeep Kaur
%A Mandeep Singh
%T An Improved Technique for Gray Scale Image Enhancement based on Multiscale Morphological Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 14
%P 27-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A method for enhancing the contrast of gray scale images using multiscale mathematical morphology is presented in this paper. The conventional theoretical concept of enhancing image has been extended from mathematical morphology to multiscale mathematical morphological approach. Gray scale images sometimes suffer from lack of contrast. So to enhance image efficiently a multiscale top hat transform based algorithm is proposed. In this algorithm multiscale structuring element of same shape and increasing size is used. By using multiscale top hat transform both white and black features at various scales of gray scale image are extracted and these features are added together to find the final enhanced image. For implementing scheme different morphological towers are built. Experiment has been performed on a set of raw gray scale images for testing efficiency both qualitatively and quantitatively and result is also compared with other state of art techniques and gets better result.

References
  1. Susanta Mukhopadhyay, Bhabatosh Chanda 2000. A multiscale morphological approach to local contrast enhancement. Signal Processing
  2. Computer Vision CITS4240, School of Computer Science & Software Engineering The University of Western Australia
  3. Zheng Wei, Yang Hua, Sun Hui-sheng, Fan Hong- qi 2007. X-ray Image Enhancement Based on Multiscale morphology. IEEE, Science and Technology Research and Development Program of Hebei Province
  4. Xiangzhi Bai, Fugen Zhou 2000. Multi Scale Top-hat Transform Based Algorithm for Image Enhancement, IEEE Image processing center Beijing University of Aeronautics and Astronautics, Chinna
  5. Yan Wenzhong 2009. Mathematical Morphology based Enhancement for Chromosome Images. IEEE
Index Terms

Computer Science
Information Sciences

Keywords

Gray-scale image Image enhancement Multiscale morphology Tophat transform

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