Unsupervised image segmentation with adaptive archive-based evolutionary multiobjective clustering

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

Volumn 6744 LNCS, Issue , 2011, Pages 92-97

  Bong, Chin Wei ^a   Lam, Hong Yoong ^b  

^a SCHOOL OF PHYSICS   (Malaysia)

^b HOSPITAL PULAU PINANG   (Malaysia)

Author keywords

Multiobjective clustering; soft computing

Indexed keywords

COMPUTER TOMOGRAPHY; CT SCAN; EVOLUTIONARY CLUSTERING; FITNESS FUNCTIONS; FUZZY C-MEANS; FUZZY CLUSTERING METHOD; FUZZY COMPACTNESS; GREY SCALE IMAGES; MULTI OBJECTIVE; MULTI-OBJECTIVE SCATTER SEARCH; MULTIOBJECTIVE CLUSTERING; NSGA-II; PARETO DOMINANCE; SAR(SYNTHETIC APERTURE RADAR); SCATTER SEARCH; UNSUPERVISED IMAGE SEGMENTATION;

ARTIFICIAL INTELLIGENCE; COMPUTERIZED TOMOGRAPHY; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGING SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; PATTERN RECOGNITION; SOFT COMPUTING; SYNTHETIC APERTURE RADAR;

IMAGE SEGMENTATION;

EID: 79960148388     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21786-9_17     Document Type: Conference Paper

References (11)

1. Gonzalez, R.C., Woods, R.E.: Digital Image processing. Prentice-Hall, Englewood Cliffs (2007)
2. Zaart, A.E., Ziou, D., Wang, S., Jiang, Q.: Segmentation of SAR images using mixture of gamma distribution. Pattern Recognition 35(3), 713-724 (2002)
3. Lemarechal, C., Fjortoft, R., Marthon, P., Cubero-castan, E., Lopes, A.: SAR image segmentation by morphological methods. In: Proc. SPIE, vol. 3497, pp. 111-121 (1998)
4. Glover, F., Laguna, M., Martí, R.: Scatter search. In: Ghosh, A., Tsutsui, S. (eds.) Advances in Evolutionary Computing: Theory and Applications, pp. 519-537. Springer, Heidelberg (2003)
5. Mukhopadhyaya, A., Maulik, U.: A multiobjective approach to MR brain image segmentation. Applied Soft Computing 11, 872-880 (2011)
6. Nebro, A.J., Luna, F., Alba, E., Dorronsoro, B., Durillo, J.J., Beham, A.: AbYSS: Adapting Scatter Search to Multiobjective Optimization. IEEE Transactions on Evo. Comp. 12(4) (2008)
7. Bezdek, J.C.: Cluster validity with fuzzy sets. Cybernetics and Systems, 58-73 (1974)
8. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. on Evolutionary Computation 6(2), 182-197 (2002) (Pubitemid 34555372)
9. Handl, J., Knowles, J.: An evolutionary approach to multiobjective clustering. IEEE Trans. on Evolutionary Computing 11(1), 56-76 (2007) (Pubitemid 46421668)
10. Saha, S., Bandyopadhyay, S.: Unsupervised pixel classification in satellite imagery using a new multiobjective symmetry based clustering approach. In: TENCON IEEE Region 10 Conference (2008)
11. Coello, C.A.C.: Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored. Frontiers of Computer Science in China 3(1), 18-30 (2009)