Digital geometry algorithms : theoretical foundations and applications to computational imaging
Author(s)
Bibliographic Information
Digital geometry algorithms : theoretical foundations and applications to computational imaging
(Lecture notes in computational vision and biomechanics / editors, João Manuel R.S. Tavares, R.M. Natal Jorge, v. 2)
Springer, c2012
- : hardback
Available at / 1 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Digital geometry emerged as an independent discipline in the second half of the last century. It deals with geometric properties of digital objects and is developed with the unambiguous goal to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing. Different aspects of digital geometry have been addressed in the literature. This book is the first one that explicitly focuses on the presentation of the most important digital geometry algorithms. Each chapter provides a brief survey on a major research area related to the general volume theme, description and analysis of related fundamental algorithms, as well as new original contributions by the authors. Every chapter contains a section in which interesting open problems are addressed.
Table of Contents
- 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
- Kalman Palagyi, Gabor Nemeth, and Peter 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 9 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
by "Nielsen BookData"