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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 209
Weight: 434 g
Dimensions: 254 x 178 x 12 mm
Edition: Softcover reprint of the original 1st ed. 200
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)