Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging

Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging

Hardcover(2012)

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Overview

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.

Product Details

ISBN-13: 9789400741737
Publisher: Springer Netherlands
Publication date: 05/20/2012
Series: Lecture Notes in Computational Vision and Biomechanics , #2
Edition description: 2012
Pages: 430
Product dimensions: 6.10(w) x 9.25(h) x 0.05(d)

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 Čomićand 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
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

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