Shape preservation during digitization: Tight bounds based on the morphing distance

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

Volumn 2781, Issue , 2003, Pages 108-115

  Stelldinger, Peer ^a   Köthe, Ullrich ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

GEOMETRIC DISTORTION; GRAY-SCALE IMAGES; MORPHING; SAMPLING GRIDS; SHAPE PRESERVATION; TIGHT BOUND;

PATTERN RECOGNITION;

EID: 35248835683     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45243-0_15     Document Type: Article

References (6)

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2. Latecki, L.J., Conrad, C., Gross, A.: Preserving Topology by a Digitization Process. Journal of Mathematical Imaging and Vision 8, 131-159, 1998.
3. Latecki, L.J.: Discrete Representation of Spatial Objects in Computer Vision. Kluwer Academic Publishers, Dordrecht, 1998.
4. Pavlidis, T.: Algorithms for Graphics and Image Processing. Computer Science Press, Rockville, Maryland. 1982.
5. Ronse, C., Tajine, M.: Discretization in Hausdorff Space. Journal of Mathematical Imaging and Vision 12, 219-242, 2000.
6. Serra, J.: Image Analysis and Mathematical Morphology Academic Press, New York, 1982.