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JCR Impact Factor: 0.800
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SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
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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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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

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SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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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: 794 | Views: 1,527

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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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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Cited-By CrossRef

[1] A new method of contrast enhancement of musculoskeletal ultrasound imaging based on fuzzy inference technique, Jabbar, Shaima Ibraheem, Aladi, Abathar Qahtan, Day, Charles, Chadwick, Edward, Biomedical Physics & Engineering Express, ISSN 2057-1976, Issue 5, Volume 7, 2021.
Digital Object Identifier: 10.1088/2057-1976/ac0dce
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Stefan cel Mare University of Suceava, Romania


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