A fast quantum mechanics based contour extraction algorithm

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7259, Issue , 2009, Pages

  Lan, Tian ^a   Sun, Yangguang ^a   Ding, Mingyue ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Active contours; Contour extraction; Quantum mechanics

Indexed keywords

ACTIVE CONTOURS; COMPUTATIONAL COSTS; CONTOUR EXTRACTION; CONTOUR EXTRACTION TECHNIQUE; DIGITAL IMAGE; FAST ALGORITHMS; MARKOV CHAIN MONTE CARLO METHOD; MEDICAL IMAGES; MOVING PARTICLES; NOVEL METHODS; NUMBER OF ITERATIONS; QUANTUM MECHANICS; SQUARE AMPLITUDE; STATISTICAL APPROACH; TIME COMPLEXITY;

ALGORITHMS; IMAGE PROCESSING; IMAGING SYSTEMS; MARKOV PROCESSES; MEDICAL IMAGING; PROBABILITY DENSITY FUNCTION; WAVE FUNCTIONS;

MECHANICS;

EID: 71649098164     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811319     Document Type: Conference Paper

References (18)

1. Kass, M., Witkin, A. and Terzopoulus, D., "Snakes: Active contour model," IJCV, 1(4), 321-331 (1988).
2. Cohen, L. D. and Cohen, I., "Finite-Element methods for active contour models and balloons for 2-D and 3-D images," IEEE Trans. Pattern Analysis and Machine Intelligence, 15(11), (1993).
3. Amini, A., Weymouth, T. and Jain, R., "Using dynamic programming for solving variational problems in vision," IEEE Trans. Pattern Analysis and Machine Intelligence, 12(9), 855-867 (1990).
4. Caselles, V., Catte, F., Coll, T. and Dibos, F., "A geometric model for active contours in image processing," Numer. Math., 66, 1-31 (1993).
5. Malladi, R., Sethian, J. and Vemuri, B., "Shape modeling with front propagation: A level set approach," IEEE Trans. Pattern Analysis and Machine Intelligence, 17(2), 158-175 (1995).
6. Caselles, V., Kimmel, R. and Sapiro, G., "Geodesic active contours," Int. J. Computer Vision, 22, 61-79 (1997).
7. Ronfard, R., "Region-based strategies for active contour models," Int. J. Computer Vision, 13, 229-251 (1994).
8. Zhu, S. and Yuille, A., "Region Competition: Unifying Snakes, Region Growing, and Bayes / MDL for Multi-Band Image Segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, 18(9), 884-900 (1996).
9. Jones, T. and Metaxas, D., "Automated 3D Segmentation Using Deformable Models and Fuzzy Affinity," Proc. 15th Int'l Conf. Information Processing in Medical Imaging, 113-126 (1997).
10. Chen, T. and Metaxas, D., "Image Segmentation Based on the Integration of Markov Random Fields and Deformable Models," Proc. Third Int'l Conf. Medical Imaging Computing and Computer- Assisted Intervention, 256-265 (2000).
11. Chan, T. and Vese, L., "Active Contours without Edges," IEEE Trans. Image Processing, 10(2), 266-277 (2001).
12. Mumford, D. and Shah, J., "Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems," Comm. Pure and Applied Math., 42(5), 577-685 (1989).
13. Osher, S. and Sethian, J. A., "Fronts propagation with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations," Journal of computational physics, 79, 2-49 (1988).
14. Jalba, A., Wilkinson, M. and Roerdink, J., "CPM: A deformable model for shape recovery and segmentation based on charged particles," IEEE T-PAMI, 26(10), 1320-1335 (2004).
15. Yang, R., Mirmehdi, M. and Xie, X., "A charged active contour based on electrostatics," in ACIVS, 173-184 (2006).
16. Xu, C. and Prince, J. L., "Snakes, shapes and gradient vector flow," IEEE Trans. Image Process, 7(3), 359-369 (1998).
17. Huang, X. and Metaxas, D., "Metamorphs: Deformable Shape and Appearance Models," In IEEE T-PAMI, 30(8), 1444-1459 (2008).
18. Curtis, L. J. and Ellis, D. J., "Probabilities as a bridge between classical and quantum-mechanical treatments," Eur. J. Phys., 27, 485-496 (2006).