An improved image segmentation approach based on level set and mathematical morphology

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5286, Issue 2, 2003, Pages 851-854

  Li, Hua ^a,b   Elmoataz, Abderrahim ^a   Fadili, Jaral ^a   Ruan, Su ^a  

^a Centre National de la Recherche Scientifique   (France)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Image segmentation; Level set; Medical image processing; Watershed transform

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; IMAGE ANALYSIS; INTEGRATION; MATHEMATICAL TRANSFORMATIONS; MEDICAL IMAGING; NOISE ABATEMENT; SET THEORY; SPURIOUS SIGNAL NOISE;

LEVEL SETS; MEDICAL IMAGE PROCESSING; WATERSHED TRANSFORMS;

IMAGE SEGMENTATION;

EID: 1242307890     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.538710     Document Type: Conference Paper

References (6)

1. K. Haris, et al., "Hybrid Image Segmentation using Watersheds and Fast Region Merging", IEEE Trans Image Processing, 7(12), 1684-1699, 1998.
2. R. Malladi, J. A. Sethian, B. C. Vemuri, "Shape Modeling with Front Propagation: A Level Set Approach", IEEE Trans. PAMI, 17, 158-175, 1995.
3. J. A. Sethian, Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Material Science, Cambridge University, UK, 1996.
4. L. Vincent, P. Soille, "Watersheds in Digital Spaces: An Efficient Algorithm based on Immersion Simulation", IEEE Trans. PAMI, 13(6), 583-598, 1991.
5. S. Osher, J. A. Sethian, "Fronts propagating with curvature dependent speed: algorithms based on the Hamilton-Jacobi formulation", Journal of Computational Physics, 79, 12-49, 1988.
6. A. Elmoataz, S. Schüpp, et al., "Using Active Contours and Mathematical Morphology Tools for Quantification of Immunohistochemical Images", Signal Processing, 71, 215-226, 1998.