Digital geometry algorithms : theoretical foundations and applications to computational imaging

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Related Refrences:

Part 1. General -- Digital Geometry in Image-Based Metrology / Alfred M. Bruckstein -- Provably Robust Simplification of Component Trees of Multidimensional Images / Gabor T. Herman, T. Yung Kong and Lucas M. Oliveira -- Part 2. Topology, Transformations -- Discrete Topological Transformations for Image Processing / Michel Couprie and Gilles Bertrand -- Modeling and Manipulating Cell Complexes in Two, Three and Higher Dimensions / Lidija Čomić and Leila De Floriani -- Binarization of Gray-Level Images Based on Skeleton Region Growing / Xiang Bai, Quannan Li, Tianyang Ma, Wenyu Liu and Longin Jan Latecki -- Topology Preserving Parallel 3D Thinning Algorithms / Kálmán Palágyi, Gábor Németh and Péter Kardos -- Separable Distance Transformation and Its Applications / David Coeurjolly and Antoine Vacavant -- Separability and Tight Enclosure of Point Sets / Peter Veelaert -- Part 3. Image and Shape Analysis -- Digital Straightness, Circularity, and Their Applications to Image Analysis / Partha Bhowmick and Bhargab B. Bhattacharya -- Shape Analysis with Geometric Primitives / Fabien Feschet -- Shape from Silhouettes in Discrete Space / Atsushi Imiya and Kosuke Sato -- Combinatorial Maps for 2D and 3D Image Segmentation / Guillaume Damiand and Alexandre Dupas -- Multigrid Convergence of Discrete Geometric Estimators / David Coeurjolly, Jacques-Olivier Lachaud and Tristan Roussillon

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5.0

Based on 1 users review

m36
m36

June 6, 2025, 3:33 a.m.

The book is very well written