Particle swarm optimization for object recognition in computer vision

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5027 LNAI, Issue , 2008, Pages 11-21

  Perlin, Hugo A ^a   Lopes, Heitor S ^a   Centeno, Tânia Mezzadri ^a  

^a UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; COMPUTER VISION; EVOLUTIONARY ALGORITHMS; EXPERIMENTS; IMAGE ENHANCEMENT; IMAGE PROCESSING; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; OBJECT RECOGNITION; OPTIMIZATION; TECHNOLOGY;

COLOR IMAGING; COMPLEX IMAGES; EVOLUTIONARY COMPUTATION; GRAY LEVELS; INTERNATIONAL CONFERENCES; PARTICLE SWARM OPTIMIZATIONS; PARTICLE-SWARM OPTIMIZATION; REAL-WORLD APPLICATIONS; REFERENCE IMAGES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 48249113724     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69052-8_2     Document Type: Conference Paper

References (10)

1. Jain, R., Kasturi, R., Schunck, B.G.: Machine Vision. McGraw-Hill, New York (1995)
2. Felizberto, M.K., Centeno, T.M., Lopes, H.S.: Object detection for computer vision using a robust genetic algorithm. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 284-293. Springer, Heidelberg (2005)
3. Felizberto, M.K., Lopes, H.S., Centeno, T.M., Arruda, L.V.R.: An object detection and recognition system for weld bead extraction from digital radiographs. Comput. Vis. Image Unders. 102, 238-249 (2006)
4. Guerra, C., Pascucci, V.: Find line segments with tabu search. IEICE Trans. Inf. Syst. E84-D(12), 1739-1744 (2001)
5. Eberhart, R.C., Kennedy, J.: Swarm Intelligence. Morgan Kaufmann, San Francisco (2001)
6. Hembecker, F., Lopes, H.S., Godoy Jr., W.: Particle swarm optimization for the multidimensional knapsack problem. In: Min, G., Di Martino, B., Yang, L.T., Guo, M., Rünger, G. (eds.) ISPA Workshops 2006. LNCS, vol. 4331, pp. 358-365. Springer, Heidelberg (2006)
7. Lopes, H.S., Coelho, L.S.: Particle swarm optimization with fast local search for the blind traveling salesman problem. In: Proc. 5th Int. Conf. on Hybrid Intelligent Systems, pp. 245-250 (2005)
8. Talbi, H., Batouche, M.: Hybrid particle swam with differential evolution for multimodal image registration. In: Proc. IEEE Int. Conf. on Industrial Technology (ICIT), pp. 1568-1572 (2004)
9. Wachowiak, M.P., Smolíková, R., Zurada, J.M., Elmaghraby, E.: An approach to multimodal biomedical image registration utilizing particle swarm optimization. IEEE Trans. Evolut. Comput. 8(3), 289-301 (2004)
10. Maruo, M.H., Lopes, H.S., Delgado, M.R.B.S.: Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems. In: Raidl, G.R., Gottlieb, J. (eds.) EvoCOP 2005. LNCS, vol. 3448, pp. 154-165. Springer, Heidelberg (2005)