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Geometry, Morphology, and Computational Imaging (v. 2616)
 
 
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Geometry, Morphology, and Computational Imaging (v. 2616) [Paperback]

Tetsuo Asano (Editor), Reinhard Klette (Editor), Christian Ronse (Editor)

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Book Description

July 29, 2003 3540009167 978-3540009160 1
This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in Dagstuhl Castle, Germany in April 2002. The 27 revised full papers presented went through two rounds of reviewing and improvement and assess the state of the art in geometry, morphology, and computational imaging. The papers are organized  in sections on geometry - models and algorithms; property measurement in the grid and on finite samples; features, shape, and morphology; and computer vision and scene analysis.

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Inside This Book (learn more)
First Sentence:
Most morphological operators on grey-level images are flat operators. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
straight line skeleton, admissible crystal, adjunction pyramid, multigrid convergent, extracted facets, quadrilinear constraint, trilinear constraint, closed tetrahedron, discrete gradient vector field, estimated depth values, nonlocal curvature, morphological pyramids, halftoning image, crystalline flow, pairwise pixel interactions, gray scale structuring elements, warp calculation, uncertainty segments, surface area estimation, random point set, dither matrix, node pixel, pyramid condition, fan clouds, digital line segments
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, Computer Science, Gradient Descent, New York, Academic Press, Lecture Notes, Sun-Maragos Pyramid, International Conference, Points Considered, Arbitrary Power Lattices, Hugues Hoppe, Machine Intell, Merge Edges, Visual Form, Cambridge University Press, Chiba University, Desargues's Theorem, International Workshop, Los Angeles, Notes Comput, Pattern Anal, Vision Geometry, Japan Abstract, Markus Gross, Ministry of Education
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