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Reseach Article

Design and Implementation an Automated System for Analyzing Brushstrokes to Distinguish between Van Gogh and his Contemporaries by using Swarm Intelligent Method

by Laheeb Mohammed Ibrahim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 11
Year of Publication: 2018
Authors: Laheeb Mohammed Ibrahim
10.5120/ijca2018915896

Laheeb Mohammed Ibrahim . Design and Implementation an Automated System for Analyzing Brushstrokes to Distinguish between Van Gogh and his Contemporaries by using Swarm Intelligent Method. International Journal of Computer Applications. 179, 11 ( Jan 2018), 5-14. DOI=10.5120/ijca2018915896

@article{ 10.5120/ijca2018915896,
author = { Laheeb Mohammed Ibrahim },
title = { Design and Implementation an Automated System for Analyzing Brushstrokes to Distinguish between Van Gogh and his Contemporaries by using Swarm Intelligent Method },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2018 },
volume = { 179 },
number = { 11 },
month = { Jan },
year = { 2018 },
issn = { 0975-8887 },
pages = { 5-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number11/28842-2018915896/ },
doi = { 10.5120/ijca2018915896 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:55:02.699825+05:30
%A Laheeb Mohammed Ibrahim
%T Design and Implementation an Automated System for Analyzing Brushstrokes to Distinguish between Van Gogh and his Contemporaries by using Swarm Intelligent Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 11
%P 5-14
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, An Automated System for Distinguish Between Van Gogh and his Contemporaries by using Swarm Intelligent is designed. Swarm intelligence can be defined as the collective intelligence that emerges from a group of simple entities; these agents enter into interactions, sense and change their environment locally. A system for Distinguish Between Van Gogh painting and his Contemporaries consists of three steps : processing step (In processing step, the digital paintings for Van Gogh and his contemporaries are processed automatically through many steps (Edge detection(Canny Edge detection and Ant colony optimization method), Edge linking (Hough transform method), Extract all the connected components from the image, Thinning and Resize image), feature extraction step based on histogram of oriented gradients (HOG) , and recognition step using Artificial Fish Swarm Algorithm . An Automated System for Distinguish Between Van Gogh and his Contemporaries by using Swarm Intelligent have been tested, and the recognized rate is 94.51%.

References
  1. Ahmed E., Babak S., 2015, Ahmed E., Babak S.,2015, "Quantifying Creativity in Art Networks", the sixth International Conference on Computational Creativity (ICCC), June 29- July 2nd 2015, Park City, Utah, USA.
  2. Babak S., Kanako A. R. Singh A., Ahmed E., 2016, " Toward Automated Discovery ofArtistic Influence, springer, April 2016, Volume 75, Issue 7, pp 3565–3591.
  3. El-bayoumy M.A. A., Rashad M. Z., Elsoud M. A., El-dosuky M. A., 2013, " Fast Artificial Fish Swarm Algorithm", International Journal of Information Science and Intelligent System, Vol. 2, No.4, 2013
  4. Fichner-Rathus L. , 2008. "Foundations of Art and Design". Clark Baxter.
  5. sensors : Gao Y, , Wang T, Sun Y.,2015, " A novel artificial fish swarm algorithm for recalibration of fiber optic gyroscope error parameters.", Sensors (Basel). 5;15(5):10547-68. ISSN 1424-8220 www.mdpi.com/journal/sensors
  6. G¨ung¨or P.n, Sina J., Andrei B., Shannon H., Ingrid D., 2009, "Detection Of Forgery In Paintings Using Supervised Learning", Image Processing (ICIP), 2009 16th IEEE International Conference on 7-10 Nov. 2009 , Date Added to IEEE Xplore: 17 February 2010 .
  7. Gupta Ch. , Gupta S. ,2014, " Edge Detection of an Image based on Ant ColonyOptimization Technique", antInternational Journal of Science and Research (IJSR), India Online ISSN: 2319- 7064, Volume 2 Issue 6, www.ijsr.net
  8. Gustavo C., 2011, " Graph-based Methods for the Automatic Annotation and Retrieval of Art Prints", ICMR’11, April 17-20, Trento, Italy, Copyright c2011 ACM 978-1-4503-0336.
  9. Gustavo C., 2013, "Artistic Image Analysis using Graph-based Learning Approaches", IEEE Trans Image Process. 2013 Aug;22(8):3168-78.
  10. Hamid A. A., Majida A.A., 2015, " Object Recognition Using Artificial Fish Swarm Algorithm on Fourier Descriptors" ,American Journal of Engineering, Technology and Society, 2(5): 105- 110 Published online September 18, 2015 (http://www.openscienceonline.com/journal/ajets)
  11. Hendriks, E. , Shannon H.s, 2007, " Van Gogh’s brushstrokes: marks of authenticity?", Chapter in book: Art, Conservation and Authenticities; Material, Concept, Context, Publisher: Archetype, Editors: Erma Hermens, Tina Fiske, pp.143-152 https://www.google.iq/?gfe_rd=cr&ei=n7ApWOHLNqiz8weqlq_4Bw#q=Van+Gogh%E2%80% 99s+brushstrokes:+marks+of+authenticity%3F+Ella+Hendriks*+and+Shannon+Hughes
  12. Igor Berezhnoy Eric Postma Jaap van den Herik, 2007, "Digital analysis of Van Gogh’s complementary colours", Pattern Recognition, Volume 28 Issue 6, April, 2007,Pages703-709, Elsevier Science Inc. New York, NY, USA
  13. Jagadeesan R., 2013, "An artificial fish swarm optimized fuzzy mri image segmentation approach for improving identification of brain tumour" , International Journal on Computer Science and Engineering (IJCSE), ISSN : 0975-3397 Vol. 5 No. 07.
  14. Jackson D. J.m "Computer Vision & Digital Image Processing: Edge Linking and Boundary Detection". https://www.google.iq/?gfe_rd=cr&ei=NNgzWYS5NrPb8Afb0g8&gws_rd=ssl#q=Computer+V ision+%26+Digital+Image+Processing+Edge+Linking+and+Boundary+Detection
  15. .Jia Li, Lei Yao, Ella H., James Z. W., 2012, "Rhythmic Brushstrokes Distinguish Van Gogh From His Contemporaries: Findings Via Automated Brushstroke" IEEE transactions on pattern analysis and machine intelligence Journal, Volume 34, Issue 6, June 2012, Pages 1159-1176.
  16. Joshi A. D. Late G. N. Sapkal , 2015, " A Novel Approach for Color Image Feature Extraction using Swarm Intelligence", International Journal of Computer Applications (0975 – 8887) Volume 111 – No 7, 2015
  17. 22Mallick S., 2015, Computer Vision Resources. http://www.learnopencv.com
  18. 1Price S., 1996, "Edges: The Canny Edge Detector",July4,1996.http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/MARBLE/low/edges/canny.htm
  19. Ravneet S. Arora. Ahmed E., 2013, "Towards Automated Classification of Fine-art Painting Style: a Comparative Study", 21st International Conference on Pattern Recognition. , 11-15 Nov. 2012 , Date Added to IEEE Xplore: 14 February 2013.
  20. Reza A.,2014," Empirical Study of Artificial Fish Swarm Algorithm" International Journal of Computing, Communications and Networking,Volume 3, No.1, January – March 2014, ISSN 2319-2720 Available Online at http://warse.org/pdfs/2014/ijccn013120143.pdf
  21. Ricardo S. C.b, João P. C.a, Fernando De la T., Alexandre B., Gustavo C., 2011, "Time and Order Estimation of Paintings Based on Visual Features and Expert Priors", Proceedings of the SPIE electronic imaging of art ii(2011) , Computer vision and image analysis , Volume 7869, id. 78690G (2011). (SPIE Homepage).
  22. Solberg A. .INF 4300 – Hough transform www.scribd.com/document/325241480/Hough-transform
  23. Sivaramakrishnan R., Arun Ch., 2013," Connected Components Labeling and Extraction Based Interphase Removal from Chromosome Images", International Journal of Bio-Science and Bio- Technology Vol. 5, No. 1, February, 2013 .
  24. Siwei L., Daniel R., and Hany F., 2014,"A Digital Technique for Art Authentication"
  25. Veronica A. C. Baterina, Carlos M. Oppus , 2010, "Ant Colony Optimization for Image Edge Detection", Proceeding ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation, page 220-225, World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, Wisconsin, USA ©2010
  26. Yang W., Wei Zh. Hongxing Li., 2014, "Application of artificial fish swarm algorithm in image registration", Computer Modelling & New Technologies, 2014 18(12B) 510-516
  27. .Zhehuang H. Yidong Ch., 2005" An Improved Artificial Fish Swarm Algorithm based on Hybrid Behavior Selection ", International Journal of Control and Automation Vol.6, No.5 (2013), pp.103-116, ISSN: 2005-4297 IJCA Copyright ⓒ 2013 SERSC http://dx.doi.org/10.14257/ijca.2013.6.5.10
  28. Https://www.mathworks.com/help/images/ref/bwmorph.html
  29. https://www.mathworks.com/matlabcentral/newsreader/view_thread/65770
  30. https://en.wikipedia.org/wiki/Canny_edge_detector
  31. .
Index Terms

Computer Science
Information Sciences

Keywords

Swarm intelligence feature extraction Canny Edge detection method Ant colony optimization method (ACO) Hough transform Histogram of Oriented Gradients (HOG) Artificial Fish Swarm Algorithm.