Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2017, Cilt: 1 Sayı: 1, 11 - 17, 31.03.2017

Öz

Kaynakça

  • J. Kennedy, RC Eberhart, “Swarm intelligence”, Morgan Kaufmann, 2001.
  • D. Chen, T. Zhou, and X. Yu, “A new method of edge detection based on PSO”, 9th International Symposium on Neural Networks, Shenyang, China, pp. 239-246, 2012.
  • D. Karaboga, B.Gorkemli, C.Ozturk, N. Karaboga, ”A comprehensive survey: artificial bee colony (ABC) algorithm and applications ”, Artificial Intelligence Review; Vol. 42, No. 1, pp.21-57, 2014.
  • M. Çelik, F. Köylü, D. Karaboğa, "CoABCMiner: an algorithm for cooperative rule classification system based on artificial bee colony”, International Journal on Artificial Intelligence Tools, Vol. 24, pp.1-40, 2015.
  • A. N. Akansu, R. A. Haddad, “Multiresolution signal decomposition: transforms, subbands, and wavelets”, Boston, MA: Academic Press, 1992.
  • S. Mallat, “A wavelet tour of signal processing”, 2nd ed. San Diego, CA: Academic, 1999.
  • N. G. Kingsbury: “Complex wavelets for shift invariant analysis and filtering of signals”,
  • Journal of Applied and Computational Harmonic Analysis, Vol. 10, No. 3, May 2001, pp. 234-253.
  • I.W. Selesnick, R.G. Baraniuk, N.C. Kingsbury. “The dual-tree complex wavelet transform”, IEEE Signal Processing Magazine, 2005.

Multiresolution Edge Detection using Particle Swarm Optimization

Yıl 2017, Cilt: 1 Sayı: 1, 11 - 17, 31.03.2017

Öz

In this paper, a
heuristic approach based on biologically inspired Particle Swarm Optimization
(PSO) is proposed to be used at multiresolution level to improve the quality of
detected edges.  In the preprocessing
stage, one level of Discrete Wavelet Transform (DWT) or Dual-tree Discrete
Wavelet Transform (DT-DWT) is applied to the input image to create new subbands
images. PSO is then applied to each one of these subband images. The output
image containing the detected edges is obtained by reconstructing it from the
processed subband images using the inverse transform. An objective function is
proposed for the PSO to evaluate edges during the heuristic search within the
image space. Also, automatic thresholding is introduced which is used to
automatically threshold the output of the PSO into binary image. Performance the
proposed approach is evaluated and compared with other well-known edge detectors
such as Sobel and Canny using Kodak image database. The results from objective
evaluation using Peak Signal-to-Noise-Ratio (PSNR) and Root Mean Square Error
(RMSE) showed that the proposed approach has a better and/or comparable
performance compared to other edge detectors. 

Kaynakça

  • J. Kennedy, RC Eberhart, “Swarm intelligence”, Morgan Kaufmann, 2001.
  • D. Chen, T. Zhou, and X. Yu, “A new method of edge detection based on PSO”, 9th International Symposium on Neural Networks, Shenyang, China, pp. 239-246, 2012.
  • D. Karaboga, B.Gorkemli, C.Ozturk, N. Karaboga, ”A comprehensive survey: artificial bee colony (ABC) algorithm and applications ”, Artificial Intelligence Review; Vol. 42, No. 1, pp.21-57, 2014.
  • M. Çelik, F. Köylü, D. Karaboğa, "CoABCMiner: an algorithm for cooperative rule classification system based on artificial bee colony”, International Journal on Artificial Intelligence Tools, Vol. 24, pp.1-40, 2015.
  • A. N. Akansu, R. A. Haddad, “Multiresolution signal decomposition: transforms, subbands, and wavelets”, Boston, MA: Academic Press, 1992.
  • S. Mallat, “A wavelet tour of signal processing”, 2nd ed. San Diego, CA: Academic, 1999.
  • N. G. Kingsbury: “Complex wavelets for shift invariant analysis and filtering of signals”,
  • Journal of Applied and Computational Harmonic Analysis, Vol. 10, No. 3, May 2001, pp. 234-253.
  • I.W. Selesnick, R.G. Baraniuk, N.C. Kingsbury. “The dual-tree complex wavelet transform”, IEEE Signal Processing Magazine, 2005.
Toplam 9 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Articles
Yazarlar

ALAA Eleyan 0000-0002-0644-8039

Muhammad Anwar Bu kişi benim

Yayımlanma Tarihi 31 Mart 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 1 Sayı: 1

Kaynak Göster

IEEE A. Eleyan ve M. Anwar, “Multiresolution Edge Detection using Particle Swarm Optimization”, IJESA, c. 1, sy. 1, ss. 11–17, 2017.

ISSN 2548-1185
e-ISSN 2587-2176
Period: Quarterly
Founded: 2016
Publisher: Nisantasi University
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