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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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Suceava - 720229
ROMANIA

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


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FEATURED ARTICLE

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
Issue 2/2022

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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: 806 | Views: 1,384

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.


References | Cited By  «-- Click to see who has cited this paper

[1] G. Kumar and P. K. Bhatia, "A detailed review of feature extraction in image processing systems," in 2014 Fourth International Conference on Advanced Computing Communication Technologies, Feb. 2014, pp. 5-12.
[CrossRef] [Web of Science Times Cited 186] [SCOPUS Times Cited 342]


[2] S. Arivazhagan and L. Ganesan, "Texture classification using wavelet transform," Pattern Recognition Letters, vol. 24, no. 9, pp. 1513-1521, Jun. 2003.
[CrossRef] [Web of Science Times Cited 347] [SCOPUS Times Cited 450]


[3] Yang Bai, Lihua Guo, Lianwen Jin and Qinghua Huang, "A novel feature extraction method using pyramid histogram of orientation gradients for smile recognition," 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, 2009, pp. 3305-3308.
[CrossRef] [SCOPUS Times Cited 120]


[4] Priyanka and D. Kumar, "Feature extraction and selection of kidney ultrasound images using GLCM and PCA," Procedia Computer Science, vol. 167, pp. 1722-1731, Jan. 2020.
[CrossRef] [Web of Science Times Cited 53] [SCOPUS Times Cited 76]


[5] Wenshuo Gao, Xiaoguang Zhang, Lei Yang and Huizhong Liu, "An improved Sobel edge detection," 2010 3rd International Conference on Computer Science and Information Technology, Chengdu, 2010, pp. 67-71.
[CrossRef] [SCOPUS Times Cited 373]


[6] S. E. El-Khamy, M. Lotfy and N. El-Yamany, "A modified fuzzy Sobel edge detector," Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396), Minufiya, Egypt, 2000, pp. C32/1-C32/9.
[CrossRef] [SCOPUS Times Cited 39]


[7] Q. Ying-Dong, C. Cheng-Song, C. San-Ben, and L. Jin-Quan, "A fast subpixel edge detection method using Sobel-Zernike moments operator," Image and Vision Computing, vol. 23, no. 1, pp. 11-17, Jan. 2005.
[CrossRef] [Web of Science Times Cited 167] [SCOPUS Times Cited 244]


[8] R. H. Bamberger and M. J. T. Smith, "A filter bank for the directional decomposition of images: theory and design," in IEEE Transactions on Signal Processing, vol. 40, no. 4, pp. 882-893, April 1992.
[CrossRef] [Web of Science Times Cited 616] [SCOPUS Times Cited 873]


[9] S. Chakrabarti and S. K. Mitra, "Design of two-dimensional digital filters via spectral transformations," in Proceedings of the IEEE, vol. 65, no. 6, pp. 905-914, June 1977.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 51]


[10] L. Harn and B. Shenoi, "Design of stable two-dimensional IIR filters using digital spectral transformations," in IEEE Transactions on Circuits and Systems, vol. 33, no. 5, pp. 483-490, May 1986.
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 50]


[11] M. N. Do and M. Vetterli, "The contourlet transform: an efficient directional multiresolution image representation," in IEEE Transactions on Image Processing, vol. 14, no. 12, pp. 2091-2106, Dec. 2005.
[CrossRef] [Web of Science Times Cited 2655] [SCOPUS Times Cited 3832]


[12] V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, and P. L. Dragotti, "Directionlets: anisotropic multidirectional representation with separable filtering," IEEE Transactions on Image Processing, vol. 15, no. 7, pp. 1916-1933, Jul. 2006.
[CrossRef] [Web of Science Times Cited 178] [SCOPUS Times Cited 259]


[13] N. Ito, "Efficient design of two-dimensional diamond-shaped filters," in 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Dec. 2010, pp. 1-4.
[CrossRef] [SCOPUS Times Cited 3]


[14] D. V. Tosic, A. Mojsilovic, and M. Popovic, "Symbolic approach to 2D biorthogonal diamond-shaped filter design," in 1997 21st International Conference on Microelectronics. Proceedings, Sep. 1997, vol. 2, pp. 709-712 vol. 2.
[CrossRef]


[15] J. Ma and G. Plonka, "The curvelet transform," IEEE Signal Processing Magazine, vol. 27, no. 2, pp. 118-133, Mar. 2010.
[CrossRef] [Web of Science Times Cited 288] [SCOPUS Times Cited 399]


[16] A. Ebrahimzadeh, "An efficient technique for classification of electrocardiogram signals," Adv. Electr. Comp. Eng., vol. 9, no. 3, Art. no. 3, Oct. 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 15] [SCOPUS Times Cited 22]


[17] Y. Liu, C. Zhang, J. Cheng, X. Chen, and Z. J. Wang, "A multi-scale data fusion framework for bone age assessment with convolutional neural networks," Computers in Biology and Medicine, vol. 108, pp. 161-173, May 2019.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 37]


[18] N. G. Chitaliya and A. I. Trivedi, "An efficient method for face feature extraction and recognition based on contourlet transforms and principal component analysis," Procedia Computer Science, vol. 2, pp. 52-61, Jan. 2010.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 15]


[19] M. Yin, W. Liu, X. Zhao, Q.-W. Guo, and R.-F. Bai, "Image denoising using trivariate prior model in nonsubsampled dual-tree complex contourlet transform domain and non-local means filter in spatial domain," Optik, vol. 124, no. 24, pp. 6896-6904, Dec. 2013.
[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 32]


[20] D. Li, L. Zhang, J. Yang, and W. Su, "Research on wavelet-based contourlet transform algorithm for adaptive optics image denoising," Optik, vol. 127, no. 12, pp. 5029-5034, Jun. 2016.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 28]


[21] D. Guo and J. Chen, "The application of contourlet transform to image denoising," Procedia Engineering, vol. 15, pp. 2333-2338, Dec. 2011.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 8]


[22] L. Li, X. Yuan, Z. Lu, and J.-S. Pan, "Rotation invariant watermark embedding based on scale-adapted characteristic regions," Information Sciences, vol. 180, no. 15, pp. 2875-2888, Aug. 2010.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 46]


[23] S. Etemad and M. Amirmazlaghani, "A new multiplicative watermark detector in the contourlet domain using t Location-Scale distribution," Pattern Recognition, vol. 77, pp. 99-112, May 2018.
[CrossRef] [Web of Science Times Cited 53] [SCOPUS Times Cited 60]


[24] Y. Chen, J. Xiong, H. Liu, and Q. Fan, "Fusion method of infrared and visible images based on neighborhood characteristic and regionalization in NSCT domain," Optik, vol. 125, no. 17, pp. 4980-4984, Sep. 2014.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 34]


[25] X. Yang, W. Xu, R. Luo, X. Zheng, and K. Liu, "Robustly reconstructing magnetic resonance images via structure decomposition," Magnetic Resonance Imaging, vol. 57, pp. 165-175, Apr. 2019.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[26] O. Mintemur, R. Demirci, and H. Kaya, "Directional image filter using rose curve in frequency domain," in 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Oct. 2019, pp. 1-4.
[CrossRef] [SCOPUS Times Cited 2]


[27] E. J. Wood, "Applying Fourier and associated transforms to pattern characterization in textiles," Textile Research Journal, vol. 60, no. 4, pp. 212-220, Apr. 1990.
[CrossRef] [Web of Science Times Cited 150] [SCOPUS Times Cited 190]


[28] J. G. Daugman, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters," J. Opt. Soc. Am. A, JOSAA, vol. 2, no. 7, pp. 1160-1169, Jul. 1985.
[CrossRef] [Web of Science Times Cited 2088] [SCOPUS Times Cited 2640]


[29] Y. Yuan, J. Zhang, and Q. Wang, "Deep Gabor convolution network for person re-identification," Neurocomputing, vol. 378, pp. 387-398, Feb. 2020.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 38]


[30] X. Sun, P. Xia, L. Zhang, and L. Shao, "A ROI-guided deep architecture for robust facial expressions recognition," Information Sciences, vol. 522, pp. 35-48, Jun. 2020.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 32]


[31] I. Dagher, E. Dahdah, and M. Al Shakik, "Facial expression recognition using three-stage support vector machines," Vis Comput Ind Biomed Art, vol. 2, no. 1, p. 24, Dec. 2019.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 24]


[32] R. R. K. Dewi, F. Sthevanie, and A. Arifianto, "Face expression recognition using Local Gabor Binary Pattern Three Orthogonal Planes (LGBP-TOP) and Support Vector Machine (SVM) method," J. Phys.: Conf. Ser., vol. 1192, p. 012048, Mar. 2019.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 5]


[33] Y. Sun and J. Yu, "Facial expression recognition by fusing Gabor and Local Binary Pattern features," in MultiMedia Modeling, Cham, 2017, pp. 209-220.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 13]




References Weight

Web of Science® Citations for all references: 7,110 TCR
SCOPUS® Citations for all references: 10,341 TCR

Web of Science® Average Citations per reference: 209 ACR
SCOPUS® Average Citations per reference: 304 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 2024-04-12 17:38 in 189 seconds.




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