An ant-inspired algorithm for detection of image edge features

Applied Soft Computing Journal

Volumn 11, Issue 8, 2011, Pages 4883-4893

  Etemad, S Ali ^a   White, Tony ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

Ant colony systems; Feature extraction; Image edge analysis

Indexed keywords

ANT COLONY ALGORITHMS; ANT COLONY SYSTEMS; COMPARATIVE ANALYSIS; IMAGE EDGE ANALYSIS; IMAGE EDGE FEATURES; IMAGE FEATURE EXTRACTIONS; QUANTITATIVE EVALUATION; TEST IMAGES;

ALGORITHMS; FEATURE EXTRACTION; IMAGE SEGMENTATION; QUALITY CONTROL;

EDGE DETECTION;

EID: 80053567062     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.06.011     Document Type: Article

References (36)

1. D.G. Lowe Object recognition from local scale-invariant features Proc. 7th IEEE Int. Conf. Computer Vision 2 1999 1150 1157
2. E. Bonabeau, M. Dorigo, and G. Theraulaz Swarm Intelligence: From Natural to Artificial Systems first ed. 1999 Oxford University Press USA
3. R. Schoonderwoerd, J.L. Bruten, O.E. Holland, and L.J.M. Rothkrantz Ant-based load balancing in telecommunications networks Adaptive Behavior 5 2 1996 169 207 (Pubitemid 126174497)
4. D. Teodorović Swarm intelligence systems for transportation engineering: principles and applications Transportation Research C: Emerging Technologies 16 6 2008 651 667
5. A. Forestiero, and C. Mastroianni A swarm algorithm for a self-structured P2P information system IEEE Transactions on Evolutionary Computation 13 4 2009 681 694
6. J. Liu, Y.Y. Tang, and Y.C. Cao An evolutionary autonomous agents approach to image feature extraction IEEE Transactions on Evolutionary Computation 1 2 1997 141 158 (Pubitemid 127771024)
7. K. Benatcha, M. Koudil, N. Benkhelat, and Y. Boukir ISA An algorithm for image segmentation using ants IEEE Int. Symp. Industrial Electronics 2008 2503 2507
8. X. Zhuang, G. Yang, and H. Zhu A model of image feature extraction inspired by ant swarm system 4th International Conference on Natural Computation 7 2008 553 557
9. X. Zhuang Image segmentation by ant swarm - a case study of digital signal processing with biological mechanism of intelligence 11th IEEE Workshop Digital Signal Processing 2004 143 146 (Pubitemid 40498187)
10. S. Ouadfel, and M. Batouche MRF-based image segmentation using ant colony system Electronic Letters on Computer Vision and Image Analysis 2 2 2003 12 24
11. S. Ouadfel, and M. Batouche Ant colony system with local search for Markov random field image segmentation Proc. 2003 Int. Conf. Image Processing 2003 133 136
12. E. Lakehal A swarm intelligence based approach for image feature extraction Int. Conf. Multimedia Computing and Systems 2009 31 35
13. R.N. Khushaba, A. Al-Ani, A. Alsukker, and A. Al-Jumaily A combined ant colony and differential evolution feature selection algorithm Ant Colony Optimization and Swarm Intelligence 5217 2008 1 12
14. T. Mirzayans, N. Parimi, P. Pilarski, C. Backhouse, L. Wyard-Scott, and P. Musilek A swarm-based system for object recognition Neural Network World 15 3 2005 243 255 (Pubitemid 40925879)
15. F. Keshtkar, and W. Gueaieb Segmentation of dental radiographs using a swarm intelligence approach Canadian Conf. Electrical and Computer Engineering 2006 328 331
16. J. Du, L. Zhou, X. Xu, L. Yang, and Z. Shi Image feature extraction with the artificial ant colony 2010 International Conference on Intelligent Computation Technology and Automation 2 2010 466 469
17. Q. Wan, and Y. Wang Detecting moving objects by ant colony system in a MAP-MRF framework 2010 International Conference on E-Product E-Service and E-Entertainment 2010 1 4
18. Y. Wang, and M. Zhu Joint transform correlator based on joint image feature extraction using swarm intelligence method International Conference on Mechatronics and Automation 2009 4964 4969
19. V. Ramos, and F. Almeida Artificial ant colonies in digital image habitats - a mass behaviour effect study on pattern recognition Proceedings of Int. Workshop on Ant Algorithms (From Ant Colonies to Artificial Ants) 2000 113 116
20. Z. Ye, W. Liu, H. Chen, and E. Zhao A novel feature selection approach based on swarm intelligence International Workshop on Intelligent Systems and Applications 2009 1 4
21. L. Zheng, Q. Pan, G. Li, and J. Liang Improvement of grayscale image segmentation based on PSO algorithm 4th Int. Conf. Computer Sciences and Convergence Information Technology 2009 442 446
22. Y. Owechko, S. Medasani, and N. Srinivasa Classifier swarms for human detection in infrared imagery Computer Vision and Pattern Recognition Workshop 2004
23. O. Sjahputera, and J.M. Keller Particle swarm over scene matching Proc. 2005 IEEE Swarm Intelligence Symposium 2005 108 115
24. M. Gudmundsson, E.A. El-Kwae, and M.R. Kabuka Edge detection in medical images using a genetic algorithm IEEE Transactions on Medical Imaging 17 3 1998 469 474 (Pubitemid 128747701)
25. J. Canny A computational approach to edge detection IEEE Transactions on Pattern Analysis and Machine Intelligence 8 1986 679 714
26. E. Trucco, and A. Verri Introductory Techniques for 3-D Computer Vision first ed. 1998 Prentice Hall
27. R.C. Gonzalez, and R.E. Woods Digital Image Processing 1992 Addison-Wesley
28. W. Chen, X.X. Chen, and L. Zhou Multifractal analysis of edge images detected with classical edge detector International Conference on Measuring Technology and Mechatronics Automation, 2 2010 725 727
29. M. Dorigo, V. Maniezzo, and A. Colorni Ant system: optimization by a colony of cooperating agents IEEE Transactions on Systems, Man, and Cybernetics: B 26 1 1996 29 41 (Pubitemid 126780573)
30. M. Sezgin, and B. Sankur Survey over image thresholding techniques and quantitative performance evaluation Journal of Electronic Imaging 13 1 2004 146 168
31. L. Lam, S.-W. Lee, and C.Y. Suen Thinning methodologies-a comprehensive survey IEEE Transactions on Pattern Analysis and Machine Intelligence 14 9 1992 869 885
32. Z. Guo, and R.W. Hall Parallel thinning with two-subiteration algorithms Communications of the ACM 32 3 1989 359 373
33. N.L. Fernandez-Garcia, A. Carmona-Poyato, R. Medina-Carnicer, and F.J. Madrid-Cuevas Automatic generation of consensus ground truth for the comparison of edge detection techniques Image and Vision Computing 26 2008 496 511
34. J. Gauch, and C.-W. Hsia A comparison of three color image segmentation algorithms in four color spaces Visual Communications and Image Processing 1818 1992 1168 1181 (Pubitemid 23624931)
35. S.-Y. Zhu, K.N. Plataniotis, and A.N. Venetsanopoulos Comprehensive analysis of edge detection in color image processing Optical Engineering 38 4 1999 612 625
36. W.K. Pratt Digital Image Processing 2007 Wiley Hoboken, United States of America