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Reseach Article

Non Uniform Background Removal using Morphology based Structuring Element for Particle Analysis

by Prabhdeep Singh, Dr. A.K Garg
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 6
Year of Publication: 2011
Authors: Prabhdeep Singh, Dr. A.K Garg
10.5120/4023-5731

Prabhdeep Singh, Dr. A.K Garg . Non Uniform Background Removal using Morphology based Structuring Element for Particle Analysis. International Journal of Computer Applications. 33, 6 ( November 2011), 11-16. DOI=10.5120/4023-5731

@article{ 10.5120/4023-5731,
author = { Prabhdeep Singh, Dr. A.K Garg },
title = { Non Uniform Background Removal using Morphology based Structuring Element for Particle Analysis },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 6 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number6/4023-5731/ },
doi = { 10.5120/4023-5731 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:55.399678+05:30
%A Prabhdeep Singh
%A Dr. A.K Garg
%T Non Uniform Background Removal using Morphology based Structuring Element for Particle Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 6
%P 11-16
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Non Uniform Illumination in an image often leads to diminished structures and inhomogeneous intensities of the image due to different texture of the object surface and shadows cast from different light source directions. This effect is adverse in case of biological images. Techniques such as segmentation, edge detection and contrast or brightness enhancement using Histogram Equalization could not differentiate between some of the particles and their background or neighboring pixels. This paper is aimed to remove these problems in microscopic image processing by removing the problem of non-uniform background illumination from the image using Morphological Opening, Adaptive Histogram Equalization and Edge detection techniques for particle analysis .A comparative study have been shown and a new algorithm is proposed for removing the problem of non-uniform background illumination in biological images for visualizing and estimation of growth of fungus in a particular sample to transform the input image to its indexed form with maximum accuracy involving morphological openings and structuring element design using Morphological Processing.

References
  1. Abhishek Acharya,et al. “FPGA Based Non Uniform Illumination Correction in Image Processing Applications Vol 2”, pp349-358, 2009.
  2. Komal Vij,et al. “Enhancement of Images Using Histogram Processing Techniques Vol 2” , pp309-313, 2009.
  3. Tuan Zoraini bt Tuan Mat, “Image Processing -Morphology (Opening & Closing)”,Thesis B. Sc (Hons),pp-61,October 2004.
  4. M Rama Bai,“A New Approach For Border Extraction Using Morphological Methods”, pp3832-3837, 2010.
  5. M. Kowalczyk,et al.“Application of mathematical morphology operations for simplification and improvement of correlation of images in close-range photogrammetry”,pp153-158, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Morphological opening Skeletonization Histogram Equalization Thresholding Structuring Element.