Numerical Geometry of Images

Theory, Algorithms, and Applications

Ron Kimmel, M. Bronstein, A. Bronstein

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English

Springer-Verlag New York Inc.
31 August 2012

Graphics programming; Image processing

Numerical Geometry of Images examines computational methods and algorithms in image processing. It explores applications like shape from shading, color-image enhancement and segmentation, edge integration, offset curve computation, symmetry axis computation, path planning, minimal geodesic computation, and invariant signature calculation. In addition, it describes and utilizes tools from mathematical morphology, differential geometry, numerical analysis, and calculus of variations. Graduate students, professionals, and researchers with interests in computational geometry, image processing, computer graphics, and algorithms will find this new text / reference an indispensable source of insight of instruction.

By: Ron Kimmel
Illustrated by: M. Bronstein, A. Bronstein
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: Softcover reprint of the original 1st ed. 2004
Dimensions: Height: 254mm, Width: 178mm, Spine: 12mm
Weight: 434g
ISBN: 9781468495355
ISBN 10: 1468495356
Pages: 209
Publication Date: 31 August 2012
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Reviews for Numerical Geometry of Images: Theory, Algorithms, and Applications

From the reviews: After a brief introduction to differential geometry the book covers computational methods and algorithms in image processing and image analysis. ... The author presents classic approaches as well as new solutions ... . It would certainly be beneficial for the presumptive reader to be able to rely on a sound background in geometry, linear algebra and calculus. (Anton Gfrerrer, Zentralblatt MATH, Vol. 1049, 2004)