Adaptive contextual energy parameterization for automated image segmentation

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

Volumn 5875 LNCS, Issue PART 1, 2009, Pages 1089-1100

  Rao, Josna ^a   Hamarneh, Ghassan ^b   Abugharbieh, Rafeef ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Adapting energy functional; Adaptive regularization; Contextual weights; Energy minimization; Image segmentation; Noise estimation; Spectral flatness

Indexed keywords

ADAPTIVE REGULARIZATION; CONTEXTUAL WEIGHTS; ENERGY FUNCTIONALS; ENERGY MINIMIZATION; NOISE ESTIMATION; SPECTRAL FLATNESS;

COMPUTER SCIENCE; DIGITAL IMAGE STORAGE; IMAGE QUALITY; OPTIMIZATION; PARAMETERIZATION;

IMAGE SEGMENTATION;

EID: 72449158789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10331-5_101     Document Type: Conference Paper

References (25)

1. Samsonov, A.A., Johnson, C.R.: Noise-adaptive nonlinear diffusion filtering of MR images with spatially varying noise levels. Magnetic Resonance in Medicine 52(4), 798-806 (2004)
2. Burnham, K.P., Anderson, D.R.: Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods & Research 33(2), 291-304 (2004)
3. Akselrod-Ballin, A., Galun, M., Gomori, M.J., Brandt, A., Basri, R.: Prior knowledge driven multiscale segmentation of brain MRI. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 118-126. Springer, Heidelberg (2007)
4. Zhao, P., Yu, B.: Stagewise lasso. Journal of Machine Learning Research 8, 2701-2726 (2007)
5. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321-331 (1988)
6. Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. International Journal of Computer Vision 22(1), 61-79 (1997)
7. Osher, S.J., Paragios, N.: Geometric Level Set Methods in Imaging, Vision, and Graphics. Springer, Heidelberg (2003)
8. Pluempitiwiriyawej, C., Moura, J.M.F., Wu, Y.J.L., Ho, C.: STACS: New active contour scheme for cardiac MR image segmentation. IEEE Transactions on Medical Imaging 24(5), 593-603 (2005)
9. Boykov, Y., Funka-Lea, G.: Graph cuts and efficient N-D image segmentation. Int. J. Comput. Vision 70(2), 109-131 (2006)
10. Barrett, W.A., Mortensen, E.N.: Interactive live-wire boundary extraction. Medical Image Analysis 1, 331-341 (1997)
11. McIntosh, C., Hamarneh, G.: Is a single energy functional sufficient? Adaptive energy functionals and automatic initialization. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 503-510. Springer, Heidelberg (2007)
12. Udupa, J.K., Grevera, G.J.: Go digital, go fuzzy. Pattern Recognition Letters 23(6), 743-754 (2002)
13. Dong, B., Chien, A., Mao, Y., Ye, J., Osher, S.: Level set based surface capturing in 3D medical images. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 162-169. Springer, Heidelberg (2008)
14. Kokkinos, I., Evangelopoulos, G., Maragos, P.: Texture analysis and segmentation using modulation features, generative models, and weighted curve evolution. IEEE Trans. Pattern Analysis and Machine Intelligence 31(1), 142-157 (2009)
15. Malik, J., Belongie, S., Leung, T.K., Shi, J.: Contour and texture analysis for image segmentation. International Journal of Computer Vision 43(1), 7-27 (2001)
16. Erdem, E., Tari, S.: Mumford-Shah regularizer with contextual feedback. Journal of Mathematical Imaging and Vision 33(1), 67-84 (2009)
17. Jayant, N.S., Noll, P.: Digital Coding of Waveforms. Prentice-Hall, Englewood Cliffs (1984)
18. Taubman, D.S., Marcellin, M.W.: JPEG 2000: Image Compression Fundamentals, Standards and Practice. Kluwer Academic Publishers, Norwell (2001)
19. Poon, K., Hamarneh, G., Abugharbieh, R.: Live-vessel: Extending livewire for simultaneous extraction of optimal medial and boundary paths in vascular images. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 444-451. Springer, Heidelberg (2007)
20. Li, H., Yezzi, A.: Vessels as 4-D curves: Global minimal 4-D paths to extract 3-D tubular surfaces and centerlines. IEEE Transactions on Medical Imaging 26(9), 1213-1223 (2007)
21. Cohen, L.D., Kimmel, R.: Global minimum for active contour models: A minimal path approach. International Journal of Computer Vision 24(1), 57-78 (1997)
22. Bagon, S.: Matlab wrapper for graph cut (December 2006)
23. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE transactions on Pattern Analysis and Machine Intelligence 20(12), 1222-1239 (2001)
24. Cocosco, C.A., Kollokian, V., Kwan, R.K.S., Evans, A.C.: BrainWeb: Online interface to a 3D MRI simulated brain database. In: Friberg, L., Gjedde, A., Holm, S., Lassen, N.A., Nowak, M. (eds.) Third International Conference on Functional Mapping of the Human Brain, NeuroImage, vol. 5. Academic Press, London (1997)
25. Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Transactions on Image Processing 10(2), 266-277 (2001)