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ISRN Artificial Intelligence
Volume 2012 (2012), Article ID 426957, 10 pages
Research Article

Application of Artificial Bee Colony Optimization Algorithm for Image Classification Using Color and Texture Feature Similarity Fusion

1Department of Computer Science and Engineering, Kumaraguru College of Technology, Tamil Nadu, Coimbatore 641049, India
2Department of Electrical and Electronics Engineering, PSG College of Technology, Tamil Nadu, Coimbatore 641004, India

Received 9 September 2011; Accepted 24 October 2011

Academic Editor: C. Chen

Copyright © 2012 D. Chandrakala and S. Sumathi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Sushil Kumar, Pravesh Kumar, Tarun Kumar Sharma, and Millie Pant, “Bi-level thresholding using PSO, Artificial Bee Colony and MRLDE embedded with Otsu method,” Memetic Computing, 2013. View at Publisher · View at Google Scholar
  • Hsin-Yu Ha, Fausto C. Fleites, and Shu-Ching Chen, “Content-Based Multimedia Retrieval Using Feature Correlation Clustering and Fusion,” International Journal of Multimedia Data Engineering and Management, vol. 4, no. 2, pp. 46–64, 2013. View at Publisher · View at Google Scholar
  • Bahriye Akay, and Dervis Karaboga, “A survey on the applications of artificial bee colony in signal, image, and video processing,” Signal, Image and Video Processing, 2015. View at Publisher · View at Google Scholar