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A Novel Steerable Filter in the Frequency Domain: The Rose Curve FilterMINTEMUR, O.   , KAYA, H. , DEMIRCI, R. |
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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
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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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
