A Comparative study of Image Contrast Enhancement using Gray-Scale Morphology

R. Thriveni*, T. Ramashri**
* Associate Professor Department of Electronics and Communication Engineering, Aditya College of Engineering, Chittoor, A.P, India.
** Professor, Department of Electronics and Communication Engineering, SVUCE, Tirupati, A.P, India.
Periodicity:June - August'2016
DOI : https://doi.org/10.26634/jpr.3.2.8264

Abstract

The image enhancement techniques have become an important pre-processing tool for digital vision processing applications, where one of the most common degradations in images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image. The main objective of this paper is the analysis of mathematical morphological approach with comparison to various other state-of-art techniques for addressing the problems of low contrast in images. A technique used for contrast enhancement is the combined use of the top-hat bottom-hat transforms and logical operations. Histogram Equalization (HE) is one of the common methods used for improving contrast in digital images. This method is simple and effective for global contrast enhancement of images, but it suffers from some drawbacks. Contrast Limited Adaptive Histogram Equalization (CLAHE) enhances the local contrast of the images without the amplification of the noise. The proposed technique is best while compared qualitatively and quantitatively with existing technique.

Keywords

Contrast Enhancement, Histogram Equalization, CLAHE, Morphological Operations

How to Cite this Article?

Thriveni, R., and Ramashri, T. (2016). A Comparative study of Image Contrast Enhancement using Gray-Scale Morphology. i-manager’s Journal on Pattern Recognition, 3(2), 17-23. https://doi.org/10.26634/jpr.3.2.8264

References

[1]. R.C. Gonzalez and R.E. Woods, (2002). Digital Image Processing. Prentice Hall.
[2]. E.R. Dougherty, (1994). An Introduction to Nonlinear Image Processing, SPIE Press.
[3]. Geert Uytterhoeven, Dirk Roose, and Adhemar Bultheel (1999). “Integer Wavelet Transforms using the Lifting Scheme”. CSCC'99 Proceedings, Vol. 1, pp. 6251- 6253.
[4]. Hasan Demirel, and Gholamreza Anbarjafari, (2011a). “Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement”. IEEE Transactions on Geosciences and Remote Sensing.
[5]. Hasan Demirel, and Gholamreza Anbarjafari, (2011b). “Image Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition”. IEEE Transactions on Image Processing, Vol. 20, No. 5.
[6]. A. Temizel, and T. Vlachos, (2005). “Image resolution up scaling using directional cycle spinning”. Imaging, Vol. 14.
[7]. Kaur M, Kaur J, and Kaur J, (2011). “Survey of Contrast Enhancement Techniques based on Histogram Equalization”. IJASA, Vol. 2, No. 7, pp. 137-141.
[8]. Ruberto C.D, Dempster A.G, Khan S, and Jarra B, (2000). “Segmentation of blood images using morphological operators”. International Conference on Pattern Recognition, IEEE Barcelona, Spain, pp. 397-400.
[9]. Stojic T, Reljin I., and Reljin I., (2005). “Local Contrast Enhancement of Digital Mammography by using Mathematical Morphology ”. IEEE, International Symposium on Signals, Circuits and Systems, ISSCS 2005, pp. 609-612.
[10]. Sun K, and Sang N, (2007). “Enhancement of Vascular Angiogram by Multiscale Morphology”. IEEE, The 1st International Conference on Bioinfromatics and Economical Engineering 2007, ICBBE 2007. pp. 1311-1313.
[11]. Wei Z, Hua Y., (2007). “X-ray Image Enhancement Based on Multiscale Morphology ”. IEEE, The 1st International Conference on Bioinformatics and Biomedical Engineering, 2007. ICBBE 2002, pp. 702-705.
[12]. Wenzhong Y, (2009). “Mathematical Morphology Based Enhancemnet for Chromosome Images”. IEEE Transactions on Image Processing, pp. 1-3.
[13]. Wirth M, Fraschini M, Lyon J, (2004). “Contrast Enhancement of micro calcifications in mammograms using morphological enhancement and non-flat th structuring elements”. Proceedings of the 17 IEEE Symposium on Computer-based Medical Systems.
[14]. Zadorozony A, and Zhang H, (2009). “Contrast Enhancement using Morphological Scale Space”. Proceedings of the IEEE International Conference on Automation and Logistics, pp. 804-80.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.