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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  1/2021 - 9

Fuzzy Contrast Enhancement System with Multiple Transform Domain Operations

JAVID, T. See more information about JAVID, T. on SCOPUS See more information about JAVID, T. on IEEExplore See more information about JAVID, T. on Web of Science, ABID, M. See more information about ABID, M. on SCOPUS See more information about ABID, M. on SCOPUS See more information about ABID, M. on Web of Science
 
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Download PDF pdficon (2,167 KB) | Citation | Downloads: 50 | Views: 44

Author keywords
Fourier transform, fuzzy systems, image enhancement, image fusion, wavelet transforms

References keywords
image(14), fuzzy(11), enhancement(8), medical(7), systems(6), fusion(6), processing(5), information(5), histogram(5), equalization(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-02-28
Volume 21, Issue 1, Year 2021, On page(s): 83 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.01009
Web of Science Accession Number: 000624018800009
SCOPUS ID: 85102794982

Abstract
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Full text preview
Medical images provide an excellent way to identify the presence of diseases in a highly acceptable and correct manner. These images, however, due to the physical limitations of imaging instruments, have various types of artifacts. Techniques, such as those found in the computer-based image processing discipline are used as an alternative to the costly instrument to reduce or control these artifacts. A medical expert performs the complex task of disease identification and prognosis based on the visualized medical image data. The quality of medical images thus plays an important role to lower the chance of misdiagnosis and resulting in incorrect treatment. To meet the requirement of high-quality image data for the medical professional, in this research work, an innovative system is developed with the help of standard transform domain operations, data fusion, and fuzzy contrast enhancement system. Furthermore, the graphics processing unit and lookup table based technique are combined toward potential real-time implementation of the designed system. The proposed system can significantly improve the radiological contents inside medical image data to ease the task of the medical expert.


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References Weight

Web of Science® Citations for all references: 22,510 TCR
SCOPUS® Citations for all references: 85,849 TCR

Web of Science® Average Citations per reference: 750 ACR
SCOPUS® Average Citations per reference: 2,862 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-05-03 05:45 in 139 seconds.




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