E-Book, Englisch, Band 2, 430 Seiten, eBook
Reihe: Lecture Notes in Computational Vision and Biomechanics
Theoretical Foundations and Applications to Computational Imaging
E-Book, Englisch, Band 2, 430 Seiten, eBook
Reihe: Lecture Notes in Computational Vision and Biomechanics
ISBN: 978-94-007-4174-4
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Preface.- List of Contributors.- Part I General.- 1 Digital Geometry in Image-Based Metrology; Alfred M. Bruckstein.- 2 Provably Robust Simplification of Component Trees of Multidimensional Images; Gabor T. Herman, T. Yung Kong, and Lucas M. Oliveira.- Part II Topology, Transformations.- 3 Discrete Topological Transformations for Image Processing; Michel Couprie and Gilles Bertrand.- 4 Modeling and Manipulating Cell Complexes in Two, Three and Higher Dimensions; Lidija Comic and Leila De Floriani.- 5 Binarization of Gray-Level Images Based on Skeleton Region Growing; Xiang Bai, Quannan Li, Tianyang Ma, Wenyu Liu, and Longin Jan Latecki.- 6 Topology Preserving Parallel 3D Thinning Algorithms; Kálmán Palágyi, Gábor Németh, and Péter Kardos.- 7 Separable Distance Transformation and its Applications; David Coeurjolly and Antoine Vacavant.- 8 Separability and Tight Enclosure of Point Sets; Peter Veelaert.- Part III Image and Shape Analysis.- Digital Straightness, Circularity, and their Applications to Image Analysis; Partha Bhowmick and Bhargab B. Bhattacharya.- 10 Shape Analysis with Geometric Primitives; Fabien Feschet.- 11 Shape from Silhouettes in Discrete Space; Atsushi Imiya and Kosuke Sato.- 12 Combinatorial Maps for 2D and 3D Image Segmentation; Guillaume Damiand and Alexandre Dupas.- 13 Multigrid Convergence of Discrete Geometric Estimators; David Coeurjolly, Jacques-Olivier Lachaud, and Tristan Roussillon.- Index.