Scale space analysis by stabilized inverse diffusion equations

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

Volumn 1252, Issue , 1997, Pages 201-211

  Pollak, Ilya ^a   Willsky, Alan S ^a   Krim, Hamid ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DIFFERENTIAL EQUATIONS; DIFFUSION; IMAGE PROCESSING; IMAGE SEGMENTATION; PARTIAL DIFFERENTIAL EQUATIONS;

DISCONTINUOUS RIGHT-HAND SIDES; EXPERIMENTAL SECTION; INVERSE DIFFUSION; MULTI DIMENSIONAL; PERONA-MALIK EQUATIONS; SCALE-SPACE ANALYSIS; SPATIAL DIMENSION; STABILIZED INVERSE DIFFUSION EQUATION;

ORDINARY DIFFERENTIAL EQUATIONS;

EID: 84957678941     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63167-4_15     Document Type: Conference Paper

References (8)

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4. P. Perona, T. Shiota, and J. Malik. Anisotropic diffusion. In [6].
5. I. Pollak, A. S. Willsky, and H. Krim. Image segmentation and edge enhancement with stabilized inverse diffusions. LIDS Technical Report 2368, Laboratory for Information and Decision Systems, MIT, 1996.
6. B.M. ter Haar Romeny, editor. Geometry-Driven Diffusion in Computer Vision. Kluwer Academic Publishers, 1994.
7. V.I. Utkin. Sliding Modes in Control and Optimization. Springer-Verlag, 1992.
8. J. Weickert. Nonlinear diffusion scale-spaces: from the continuous to the discrete setting. In ICAOS: Images, Wavelets, and PDEs, pages 111-118, Paris, 1996.