A hybrid rough K-means algorithm and particle swarm optimization for image classification

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

Volumn 5317 LNAI, Issue , 2008, Pages 585-593

  Hung, Chih Cheng ^a   Purnawan, Hendri ^a  

^a SOUTHERN POLYTECHNIC STATE UNIVERSITY   (United States)

Author keywords

Image segmentation; K means algorithm; Particle swarm Optimization; Rough K means

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIONICS; CLUSTERING ALGORITHMS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; IMAGE SEGMENTATION; OPTIMIZATION; ROUGH SET THEORY; SET THEORY;

COMBINED ALGORITHMS; DATA CLUSTERING; K-MEANS; K-MEANS ALGORITHM; K-MEANS ALGORITHMS; LOWER AND UPPER BOUNDS; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARMS; PSO ALGORITHMS; ROUGH K-MEANS; TEST IMAGES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 57049140359     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88636-556     Document Type: Conference Paper

References (9)

1. Komorowski, J., Pawlak, Z., Polowski, L., Skowron, A.: Rough Sets: A Tutorial. In: Pal, S.K., Skowron, A. (eds.) Rough Fuzzy Hybridization, pp. 3-98. Springer, Heidelberg (1999)
2. Petrosino, A., Salvi, G.: Rough Fuzzy set based scale space transforms and their use in image analysis. International Journal of Approximate Reasoning 41, 212-228 (2006)
3. Pawlak, Z.: Rough Set. Int. J. Inform. Comput. Sci. 11, 341-356 (1982)
4. Tou, J., Gonzalez, R.: Pattern Recognition. Principles. Addison-Wesley, Reading (1974)
5. Hung, C., Germany, G.: K-Means and Iterative Selection. Algorithms in Image Segmentation. In: IEEE SouthEast Conference, Session 1: Software Development, Jamaica, West Indies, April 4-6 (2003)
6. Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: Proceedings of IEEE International Conference on Neural Networks, Perth (1995)
7. Davis, D., Bouldin, D.: A Cluster Separation Measure. IEEE Trans. Pattern Analysis and Machine Intelligence 1, 224-227 (1979)
8. Lingras, P., West, C.: Interval Set Clustering of Web Users with Rough K-means. Journal of Intelligent Information Systems 23(1), 5-16 (2004)
9. Dariusz, M., Slawomir, T.: Standard and Genetic K-means Clustering Techniques in Image Segmentation. In: The 6th International Conference on Computer Information Systems and Industrial Management Applications, pp. 299-304 (2007)