A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique

Fuzzy Logic technique represents a new approach for gray level image contrast enhancement. The image contrast problem is one of the main problems that confront the researchers in the field of digital image processing, such as in the biomedical image processing like X-Ray and MRI image segmentation f...

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Main Authors:	Hussain K., Khaleaf, Kamarul Hawari, Ghazali, Mithaq Na'ma, Raheema, Abdalla, Ahmed N.
Format:	Article
Language:	English
Published:	IJSRSET 2015
Subjects:	TR Photography
Online Access:	http://umpir.ump.edu.my/id/eprint/8890/ http://umpir.ump.edu.my/id/eprint/8890/ http://umpir.ump.edu.my/id/eprint/8890/1/A%20New%20Approach%20in%20a%20Gray-Level%20Image%20Contrast%20Enhancement%20by%20using%20Fuzzy%20Logic%20Technique.pdf

id	ump-8890
recordtype	eprints
spelling	ump-88902018-09-28T07:59:49Z http://umpir.ump.edu.my/id/eprint/8890/ A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique Hussain K., Khaleaf Kamarul Hawari, Ghazali Mithaq Na'ma, Raheema Abdalla, Ahmed N. TR Photography Fuzzy Logic technique represents a new approach for gray level image contrast enhancement. The image contrast problem is one of the main problems that confront the researchers in the field of digital image processing, such as in the biomedical image processing like X-Ray and MRI image segmentation for disease classification. In this paper, presenting a new approach to enhancing the image contrast by using fuzzy logic algorithm, so based on the fuzzy rule, we present a new membership equation, which represents the variable threshold level. The proposed method we named it (Fuzzy Hyperbolic Threshold). By using Matlab was implemented the algorithm, and applied to difference gray level images such as old documents images, biomedical images, most of them gives very good results especially with the biomedical images, because of its significant impact on the adjustment of lighting in dark images, clarify its edges, clarify their features and improved image quality. IJSRSET 2015 Article PeerReviewed application/pdf en cc_by_nc http://umpir.ump.edu.my/id/eprint/8890/1/A%20New%20Approach%20in%20a%20Gray-Level%20Image%20Contrast%20Enhancement%20by%20using%20Fuzzy%20Logic%20Technique.pdf Hussain K., Khaleaf and Kamarul Hawari, Ghazali and Mithaq Na'ma, Raheema and Abdalla, Ahmed N. (2015) A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique. International Journal of Scientific Research in Science, Engineering and Technology, 1 (1). pp. 19-23. ISSN 2395-1990 http://ijsrset.com/paper/16.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TR Photography
spellingShingle	TR Photography Hussain K., Khaleaf Kamarul Hawari, Ghazali Mithaq Na'ma, Raheema Abdalla, Ahmed N. A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
description	Fuzzy Logic technique represents a new approach for gray level image contrast enhancement. The image contrast problem is one of the main problems that confront the researchers in the field of digital image processing, such as in the biomedical image processing like X-Ray and MRI image segmentation for disease classification. In this paper, presenting a new approach to enhancing the image contrast by using fuzzy logic algorithm, so based on the fuzzy rule, we present a new membership equation, which represents the variable threshold level. The proposed method we named it (Fuzzy Hyperbolic Threshold). By using Matlab was implemented the algorithm, and applied to difference gray level images such as old documents images, biomedical images, most of them gives very good results especially with the biomedical images, because of its significant impact on the adjustment of lighting in dark images, clarify its edges, clarify their features and improved image quality.
format	Article
author	Hussain K., Khaleaf Kamarul Hawari, Ghazali Mithaq Na'ma, Raheema Abdalla, Ahmed N.
author_facet	Hussain K., Khaleaf Kamarul Hawari, Ghazali Mithaq Na'ma, Raheema Abdalla, Ahmed N.
author_sort	Hussain K., Khaleaf
title	A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
title_short	A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
title_full	A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
title_fullStr	A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
title_full_unstemmed	A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
title_sort	new approach in a gray-level image contrast enhancement by using fuzzy logic technique
publisher	IJSRSET
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/8890/ http://umpir.ump.edu.my/id/eprint/8890/ http://umpir.ump.edu.my/id/eprint/8890/1/A%20New%20Approach%20in%20a%20Gray-Level%20Image%20Contrast%20Enhancement%20by%20using%20Fuzzy%20Logic%20Technique.pdf
first_indexed	2023-09-18T22:06:57Z
last_indexed	2023-09-18T22:06:57Z
_version_	1777414771919814656

A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique

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