Scale selection for compact scale-space representation of vector-valued images

International Journal of Computer Vision

Volumn 84, Issue 2, 2009, Pages 194-204

  Vanhamel, I ^a   Mihai, C ^a   Sahli, H ^a   Katartzis, A ^b   Pratikakis, I ^c  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c INSTITUTE OF NANOSCIENCE AND NANOTECHNOLOGY   (Greece)

Author keywords

Localization scale; Scale selection; Scale space discretization

Indexed keywords

IMAGE CONTENT; LOCALIZATION SCALE; MAXIMUM CORRELATIONS; MULTIPLE SCALE; NEW APPROACHES; NONLINEAR DIFFUSION; SCALE SELECTION; SCALE SPACES; SCALE-SPACE DISCRETIZATION; SCALE-SPACE REPRESENTATION; STOPPING TIME; VECTOR VALUED;

COMPUTER VISION;

EID: 67349282702     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-008-0154-4     Document Type: Article

References (32)

1. M. Black G. Sapiro D. Marimont D. Heeger 1998 Robust anisotropic diffusion IEEE Transactions on Image Processing 7 3 421 432 (Pubitemid 128745360)
2. P. Blomgren T. Chan 1998 Color TV: total variation methods for restoration of vector valued images IEEE Transactions on Image Processing 7 3 304 309 (Pubitemid 128745348)
3. Bresson, X., Vandergheynst, P., & Thiran, J.-P. (2005). Multiscale active contours. In 5th int. conf. on scale space and pde methods in computer vision (pp. 167-178). (Pubitemid 41274223)
4. F. Catté P.-L. Lions J.-M. Morel T. Coll 1992 Image selective smoothing and edge detection by nonlinear diffusion SIAM Journal on Numerical Analysis 29 1 182 193
5. Charbonnier, P. (1994). Reconstruction d'image: régularisation avec prise en compte desdiscontinuités. PhD, University of Nice-Sophia Antipolis.
6. D. Geman G. Reynolds 1992 Constrained restoration and the recovery of discontinuities IEEE Transactions on Pattern Analysis and Machine Intelligence 14 3 367 383
7. Gilboa, G., Sochen, N., & Zeevi, Y. (2004). Estimation of optimal PDE-based denoising in the SNR sense (CCIT report 499). Technion-Israel.
8. Hadjidemetriou, E., Grossberg, M., & Nayar, S. (2002). Resolution selection using generalized entropies of multiresolution histograms. In European conference on computer vision (pp. 220-235).
9. F. Hampel 1974 The influence curve and its role in robust estimation Journal of the American Statistical Association 69 383 393
10. A. Katartzis I. Vanhamel H. Sahli 2005 A hierarchical Markovian model for multiscale region-based classification of vector-valued images IEEE Transactions on Geoscience and Remote Sensing 43 3 548 558 (Pubitemid 40320276)
11. S. Keeling R. Stollberger 2002 Nonlinear anisotropic diffusion filtering for multiscale edge enhancement Inverse Problems 18 1 175 190 (Pubitemid 34156839)
12. J. Koenderink 1984 The structure of images Biological Cybernetics 50 363 370 (Pubitemid 14070727)
13. Lin, Z., & Shi, Q. (1999). An anisotropic diffusion PDE for noise reduction and thin edge preservation. In Int. conf. on image analysis and processing (pp. 102-107).
14. T. Lindeberg 1998 Feature detection with automatic scale selection International Journal of Computer Vision 30 2 77 116
15. Mrázek, P. (2001). Selection of optimal stopping time for nonlinear diffusion filtering. In Scale-space and morphology in computer vision (pp. 290-298). (Pubitemid 33303191)
16. P. Mrázek M. Navara 2003 Selection of optimal stopping time for nonlinear diffusion filtering International Journal of Computer Vision 52 2/3 189 203
17. S. Mukhopadhyay B. Chanda 2003 Multiscale morphological segmentation of gray-scale images Transactions on Image Processing 12 5 533 549
18. P. Perona J. Malik 1990 Scale-space and edge detection using anisotropic diffusion IEEE Transactions on Pattern Analysis and Machine Intelligence 12 7 629 639 (Pubitemid 20726016)
19. A. Petrovic O. Divorra Escoda P. Vandergheynst 2004 Multiresolution segmentation of natural images: From linear to non-linear scale-space representations IEEE Transactions on Image Processing 13 8 1104 1114
20. Pratikakis, I. (1998). Watershed-driven image segmentation. PhD, Vrije Universiteit Brussel.
21. I. Pratikakis I. Vanhamel H. Sahli B. Gatos S. Perantonis 2006 Unsupervised watershed-driven region-based image retrieval IEE Proceedings on Vision, Image and Signal Processing 153 3 313 322 (Pubitemid 43735661)
22. L. Rudin S. Osher E. Fatemi 1992 Nonlinear total variation based noise removal algorithms Physica D 60 259 268
23. J. Sporring J. Weickert 1999 Information measures in scale-spaces IEEE Transactions on Information Theory 45 1051 1058
24. J. Sporring C. Colios P. Trahanias 2000 Generalized scale-selection IEEE International Conference on Image Processing 1 920 923 (Pubitemid 32466017)
25. Vanhamel, I. (2006). Vector valued nonlinear diffusion and its application to image segmentation. PhD thesis, ETRO/IRIS, Vrije Universiteit Brussel, Brussels-Belgium.
26. I. Vanhamel I. Pratikakis H. Sahli 2003 Multi-scale gradient watersheds of color images IEEE Transactions on Image Processing 12 6 617 626
27. Z. Wang A. C. Bovik H. R. Sheikh E. P. Simoncelli 2004 Image quality assessment: from error visibility to structural similarity IEEE Transactions on Image Processing 13 4 600 612
28. Weickert, J. (1998). Anisotropic diffusion in image processing. Teubner-Verlag.
29. J. Weickert 1999 Coherence-enhancing diffusion of colour images Image and Vision Computing 17 3-4 201 212
30. Whitaker, R. (1993). Geometry-limited diffusion. PhD Thesis, The University of North Carolina.
31. Whitaker, R., & Gerig, G. (1994). Vector-valued diffusion. In Geometry-driven diffusion in computer vision (pp. 93-134).
32. Y.-L. You W. Xu A. Tannenbaum M. Kaveh 1996 Behavioral analysis of anisotropic diffusion in image processing IEEE Transactions on Image Processing 5 11 1539 1553 (Pubitemid 126777688)