A new watershed algorithm based on hillclimbing technique for image segmentation

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn 4, Issue , 2003, Pages 1404-1408

  Rambabu, C ^a   Rathore, T S ^a   Chakrabarti, I ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CATCHMENTS; COMPUTER SIMULATION; COMPUTER VISION; FIELD PROGRAMMABLE GATE ARRAYS; FLOODS; MATHEMATICAL TRANSFORMATIONS; WATERSHEDS;

CATCHMENT BASINS; HILLCLIMBING TECHNIQUES; WATERSHED ALGORITHMS; WATERSHED TRANSFORMS;

IMAGE SEGMENTATION;

EID: 2342587264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. S. Beucher, "Segmentation d'images et morphologie math è matique," Ph.D. dissertation, School of Mines, Paris, June 1990.
2. L. Vincent and P. Soille, "Watersheds in digital spaces: An efficient algorithm based on immersion simulations," IEEE PAMI, vol. 13, no. 6, pp. 583-598, 1991.
3. S. Beucher and F. Meyer, "The morphological approach to segmentation: The watershed transformation," in Mathematical Morphology in Image Processing. New York: Marcel Dekker Inc., 1993. pp. 433-481.
4. F. Meyer, "Topographic distance and watershed lines," Signal Processing, vol. 38(1), no. 1, pp. 113-125, July 1994.
5. A. N. Moga, B. Cramariuc, and M. Gabbouj, "An efficient watershed algorithm based on rainfalling simulation," in Proc. 12th European Conference on Circuit Theory and Design, vol. 1. Istanbul, Turkey, Aug. 1995. pp. 339-342.
6. A. N. Moga, "Parallel watershed algorithms for image segmentation," Ph.D. dissertation, Tampere University of Technology, Tampere, Finland. Feb. 1997.
7. Jos B. T. M. Roerdink and Arnold Meijster, "The Watershed Transform: Definitions, Algorithms and Parallelization Strategies," in Fundamenta Informaticae, vol. 41. IOS Press, 2001, pp. 187-228.
8. F. Meyer and S. Beucher, "Morphological segmentation," Journal of Visual Communication and Image Representation, vol. 1, no. 1, pp. 21-45, 1990.
9. D. Wang, "A multiscale gradient algorithm for image segmentation using watersheds," Pattern Recognition, vol. 678, no. 12, pp. 2043-2052, 1997.
10. Q. Huang and B. Dom, "Quantitative methods for evaluating image segmentation," in IEEE International Conference on Image Processing, vol. 3. Washington D.C., Oct. 1995, pp. 53-56.