Binary structuring elements decomposition based on an improved recursive dilation-union model and RSAPSO method

Mathematical Problems in Engineering

Volumn 2014, Issue , 2014, Pages

  Zhang, Yudong ^a   Wang, Shuihua ^a,b   Sun, Yi ^c   Ji, Genlin ^a   Phillips, Preetha ^d   Dong, Zhengchao ^e  

^a NANJING NORMAL UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

^c BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^d SHEPHERD UNIVERSITY   (United States)

^e NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SIMULATED ANNEALING;

ARBITRARY SHAPE; BINARY STRUCTURING ELEMENTS; DECOMPOSITION TREES; SIMULATED ANNEALING PARTICLE SWARM OPTIMIZATIONS; STRUCTURING ELEMENT; TERMINATION CRITERIA;

FORESTRY;

EXPERIMENTATION; FORESTRY;

EID: 84901049760     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2014/272496     Document Type: Article

References (38)

1. Cuisenaire O., Locally adaptable mathematical morphology using distance transformations. Pattern Recognition 2006 39 3 405 416 2-s2.0-29144516452 10.1016/j.patcog.2005.07.009 (Pubitemid 41808621)
2. Shih F. Y., Wu Y.-T., Decomposition of binary morphological structuring elements based on genetic algorithms. Computer Vision and Image Understanding 2005 99 2 291 302 2-s2.0-19744366033 10.1016/j.cviu.2005.01.001 (Pubitemid 40744174)
3. Park H., Yoo J., Structuring element decomposition for efficient implementation of morphological filters. IEE Proceedings: Vision, Image and Signal Processing 2001 148 1 31 35 2-s2.0-0035245590 10.1049/ip-vis:20010240 (Pubitemid 32371605)
4. Hashimoto R. F., Barrera J., A note on Park and Chin's algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002 24 1 139 144 2-s2.0-0036227376 10.1109/34.982891 (Pubitemid 34325623)
5. Zhang Y., Wu L., Recursive structure element decomposition using migration fitness scaling genetic algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011 6728 1 514 521 2-s2.0-79958224000 10.1007/978-3-642- 21515-5-61
6. Fornarelli G., Giaquinto A., Adaptive particle swarm optimization for CNN associative memories design. Neurocomputing 2009 72 16-18 3851 3862 2-s2.0-69249219374 10.1016/j.neucom.2009.05.004
7. Alatas B., Akin E., Chaotically encoded particle swarm optimization algorithm and its applications. Chaos, Solitons and Fractals 2009 41 2 939 950 2-s2.0-67349192595 10.1016/j.chaos.2008.04.024
8. Rabbani M., Bajestani M. A., Baharian Khoshkhou G., A multi-objective particle swarm optimization for project selection problem. Expert Systems with Applications 2010 37 1 315 321 2-s2.0-70349443671 10.1016/j.eswa.2009.05.056
9. Zhang Y., Wu L., A robust hybrid restarted simulated annealing particle swarm optimization technique. Advances in Computer Science and Its Applications 2012 1 1 5 8
10. Arumugam M. S., Rao M. V. C., Tan A. W. C., A novel and effective particle swarm optimization like algorithm with extrapolation technique. Applied Soft Computing Journal 2009 9 1 308 320 2-s2.0-53749100262 10.1016/j.asoc.2008. 04.016
11. Abdelaziz A. Y., Mohammed F. M., Mekhamer S. F., Badr M. A. L., Distribution Systems Reconfiguration using a modified particle swarm optimization algorithm. Electric Power Systems Research 2009 79 11 1521 1530 2-s2.0-68549105907 10.1016/j.epsr.2009.05.004
12. Zhang Y., Jun Y., Wei G., Wu L., Find multi-objective paths in stochastic networks via chaotic immune PSO. Expert Systems with Applications 2010 37 3 1911 1919 2-s2.0-70449520180 10.1016/j.eswa.2009.07.025
13. Nakib A., Oulhadj H., Siarry P., Image histogram thresholding based on multiobjective optimization. Signal Processing 2007 87 11 2516 2534 2-s2.0-34447325631 10.1016/j.sigpro.2007.04.001 (Pubitemid 47053977)
14. Mohamadi H., Habibi J., Abadeh M. S., Saadi H., Data mining with a simulated annealing based fuzzy classification system. Pattern Recognition 2008 41 5 1841 1850 2-s2.0-38349177924 10.1016/j.patcog.2007.11.002
15. Rubenthaler S., Rydén T., Wiktorsson M., Fast simulated annealing in Rd with an application to maximum likelihood estimation in state-space models. Stochastic Processes and their Applications 2009 119 6 1912 1931 2-s2.0-64549131368 10.1016/j.spa.2008.09.007
16. Dorigo M., Birattari M., Stützle T., Ant colony optimization artificial ants as a computational intelligence technique. IEEE Computational Intelligence Magazine 2006 1 4 28 39 2-s2.0-33846280533 10.1109/CI-M.2006.248054 (Pubitemid 46118248)
17. Zhang Y., Agarwal P., Bhatnagar V., Swarm Intelligence and Its Applications 2013 The Scientific World Journal
18. Zhang Y., Wu L., Wang S., UCAV path planning by fitness-scaling adaptive chaotic particle swarm optimization. Mathematical Problems in Engineering 2013 2013 9 705238 10.1155/2013/705238
19. Lamberti L., An efficient simulated annealing algorithm for design optimization of truss structures. Computers and Structures 2008 86 19-20 1936 1953 2-s2.0-49049103728 10.1016/j.compstruc.2008.02.004
20. Liu A., Yang Y., Xing Q., Yao H., Zhang Y., Zhou Z., Improved collaborative particle swarm algorithm for job shop scheduling optimization. Advanced Science Letters 2011 4 6-7 2180 2183 2-s2.0-80051512521 10.1166/asl.2011.1402
21. Zhang Y., Wu L., Bacterial chemotaxis optimization for protein folding model. Proceedings of the 5th International Conference on Natural Computation (ICNC '09) August 2009 Tianjian, China 159 162 2-s2.0-77950576948 10.1109/ICNC.2009.190
22. Zhang Y., Wang S., Ji G., An MR brain images classifier system via particle swarm optimization and kernel support vector machine. The Scientific World Journal 2013 2013 9 130134 10.1155/2013/130134
23. Cosola E., Genovese K., Lamberti L., Pappalettere C., A general framework for identification of hyper-elastic membranes with moiré techniques and multi-point simulated annealing. International Journal of Solids and Structures 2008 45 24 6074 6099 2-s2.0-53249085803 10.1016/j.ijsolstr.2008.07.019
24. McGookin E. W., Murray-Smith D. J., Submarine manoeuvring controller's optimisation using simulated annealing and genetic algorithms. Control Engineering Practice 2006 14 1 1 15 2-s2.0-26844557351 10.1016/j.conengprac. 2005.01.002 (Pubitemid 41447908)
25. Zhang Y., Wu L., Neggaz N., Wang S., Wei G., Remote-sensing image classification based on an improved probabilistic neural network. Sensors 2009 9 9 7516 7539 2-s2.0-70350022524 10.3390/s90907516
26. Cretu N., Pop M.-I., Acoustic behavior design with simulated annealing. Computational Materials Science 2009 44 4 1312 1318 2-s2.0-58549111575 10.1016/j.commatsci.2008.08.023
27. Gheyas I. A., Smith L. S., Feature subset selection in large dimensionality domains. Pattern Recognition 2010 43 1 5 13 2-s2.0-68949155378 10.1016/j.patcog.2009.06.009
28. Niknam T., Mojarrad H. D., Nayeripour M., A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch. Energy 2010 35 4 1764 1778 2-s2.0-77949263668 10.1016/j.energy.2009.12.029
29. Anelli G., Broggi A., Destri G., Decomposition of arbitrarily shaped binary morphological structuring elements using genetic algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 1998 20 2 217 224 2-s2.0-0032002538 10.1109/34.659943 (Pubitemid 128743517)
30. Walton S., Hassan O., Morgan K., Brown M. R., Modified cuckoo search: a new gradient free optimisation algorithm. Chaos, Solitons and Fractals 2011 44 9 710 718 2-s2.0-80051982682 10.1016/j.chaos.2011.06.004
31. Ahmad I., Mohammad M. G., Salman A. A., Hamdan S. A., Broadcast scheduling in packet radio networks using Harmony Search algorithm. Expert Systems with Applications 2012 39 1 1526 1535 2-s2.0-81855207427 10.1016/j.eswa.2011.08.046
32. Zhang Y., Wang S., Ji G., Genetic pattern search and its application to brain image classification. Mathematical Problems in Engineering 2013 2013 8 580876 10.1155/2013/580876
33. Yao B., Hu P., Lu X., Gao J., Zhang M., Transit network design based on travel time reliability. Transportation Research Part C: Emerging Technologies 2014 10.1016/j.trc.2013.12.005
34. Zhang Y., Wu L., Wang S., Solving two-dimensional HP model by firefly algorithm and simplified energy function. Mathematical Problems in Engineering 2013 2013 9 398141 10.1155/2013/398141
35. Horng M.-H., Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization. Expert Systems with Applications 2010 37 6 4580 4592 2-s2.0-77549084421 10.1016/j.eswa.2009.12.050
36. Zhang Y., Wu L., Wang S., Magnetic resonance brain image classification by an improved artificial bee colony algorithm. Progress in Electromagnetics Research 2011 116 65 79 10.2528/PIER11031709
37. Yao B., Yao B., Yao B., Artificial bee colony algorithm with scanning strategy for periodic vehicle routing problem. SIMULATION: Transactions of the Society For Modeling and Simulation International 2013 89 6 762 770 10.1177/0037549713481503
38. Sun J., Yao B.-Z., Yang C.-Y., Tunnel surrounding rock displacement prediction using support vector machine. International Journal of Computational Intelligence Systems 2010 3 6 843 852