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JCR Impact Factor: 0.825
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PUBLISHER

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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2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2021 is 2.5, the same as for 2020 but better than all our previous results.

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2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

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  2/2021 - 6

A Novel Steerable Filter in the Frequency Domain: The Rose Curve Filter

MINTEMUR, O. See more information about MINTEMUR, O. on SCOPUS See more information about MINTEMUR, O. on IEEExplore See more information about MINTEMUR, O. on Web of Science, KAYA, H. See more information about  KAYA, H. on SCOPUS See more information about  KAYA, H. on SCOPUS See more information about KAYA, H. on Web of Science, DEMIRCI, R. See more information about DEMIRCI, R. on SCOPUS See more information about DEMIRCI, R. on SCOPUS See more information about DEMIRCI, R. on Web of Science
 
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Download PDF pdficon (2,318 KB) | Citation | Downloads: 589 | Views: 668

Author keywords
feature extraction, filtering, Fourier transforms, image processing, pattern recognition

References keywords
image(10), recognition(8), processing(7), transform(6), contourlet(6), pattern(5), method(5), domain(5), design(5), yang(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-05-31
Volume 21, Issue 2, Year 2021, On page(s): 49 - 58
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.02006
Web of Science Accession Number: 000657126200006
SCOPUS ID: 85107618537

Abstract
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Feature extraction in image processing is a difficult task. To do this, a filter bank is one of the most used techniques. To extract a feature, the image is masked with filters in prepared filter banks, one by one. If a greater number of features can be extracted from an image, the task is easier. Thus, identifying more features is desirable in many image processing applications. However, filter preparation can be troublesome because of the difficulties in determining a filters parameters such as direction. Limitations of the selected filter are another issue. Thus, an easy-to-use filter with few parameters and directional flexibility is a desirable choice. For these reasons, a novel steerable type of filter is proposed in this study. The proposed rose curve filter uses Lemniscate shapes derived from the rose curves to extract image features in the frequency domain. It has three parameters, fewer than other filters, and has directional flexibility. It can also extract images in more than one direction. Experimental results show that it is effective in feature extraction during image processing.


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