TY  - BOOK
AU  - Bhattacharya,Bhargab B.
AU  - Brimkov,Valentin E.
AU  - Barneva,Reneta P.
ED  - International Workshop on Combinatorial Image Analysis
TI  - Combinatorial image analysis: 17th International Workshop, IWCIA 2015, Kolkata, India, November 24-27, 2015, proceedings 
T2  - Lecture notes in computer science,
SN  - 9783319261454
AV  - TA1637 .I58 2015eb
U1  - 006.6 23
PY  - 2015///
CY  - Cham
PB  - Springer
KW  - Image analysis
KW  - Congresses
KW  - Combinatorial analysis
KW  - Image processing
KW  - Digital techniques
KW  - Analyse d'images
KW  - Congrès
KW  - Analyse combinatoire
KW  - Traitement d'images
KW  - Techniques numériques
KW  - Graphics programming
KW  - bicssc
KW  - Pattern recognition
KW  - Artificial intelligence
KW  - Algorithms & data structures
KW  - Discrete mathematics
KW  - Computers
KW  - Computer Graphics
KW  - bisacsh
KW  - Computer Vision & Pattern Recognition
KW  - Intelligence (AI) & Semantics
KW  - Programming
KW  - Algorithms
KW  - Data Processing
KW  - fast
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - International conference proceedings; Includes bibliographical references and author index; Intro -- Preface -- Organization -- Contents -- Invited Talk -- Digital Analytical Geometry: How Do I Define a Digital Analytical Object? -- 1 Introduction -- 2 Digitization -- 2.1 Notations -- 2.2 General Remarks on Digitizations -- 2.3 Morphological Digitizations -- 3 Analytical Characterization of Digital Objects -- 3.1 Direct Defined Analytical Digital Objects -- 3.2 Digitized Analytical Objects -- 4 Conclusion and Perspectives -- References -- Theoretical Foundations of Combinatorial Image Analysis -- Digital Geometry and Topology; Fuzzy Connectedness Segmentation: A Brief Presentation of the Literature -- 1 Introduction -- 2 Basic Definitions -- 3 A Simple Multi Object Fuzzy Segmentation (MOFS) Algorithm -- 4 Robustness of Fuzzy Connectedness Segmentations -- 5 Unified Theory of FC Segmentations -- 6 Conclusion -- References -- Equivalent Sequential and Parallel Subiteration-Based Surface-Thinning Algorithms -- 1 Introduction -- 2 Basic Notions and Results -- 3 Parallel and Sequential 6-Subiteration Surface-Thinning Algorithms -- 4 Verification -- 5 Conclusions -- References; Relative Convex Hull Determination from Convex Hulls in the Plane -- 1 Introduction -- 2 Preliminaries -- 3 Definition and Properties of the Relative Convex Hull -- 4 Previous Algorithms of Determining the Relative Convex Hull for Simple Polygons in the Plane -- 5 A New Algorithm of Determining the Relative Convex Hull for Simple Polygons in the Plane -- 5.1 Vertex Lists, Convex Hull Determination and Cavity Detection -- 5.2 Processing of One Cavity -- 5.3 Detection and Processing of Subsequent Cavities -- 5.4 Pseudocode, Implementation, and Complexity -- 6 Conclusion and Future Work; On the Connectivity and Smoothness of Discrete Spherical Circles -- 1 Introduction -- 1.1 Motivation -- 1.2 Definitions and Terminologies -- 2 Discrete Spheres, Types, Ordering -- 3 Discrete Spherical Circles -- 3.1 Discretization Classes -- 3.2 Smoothness of Spherical Circles -- 3.3 Algorithm for Discrete Spherical Circle -- 4 Results and Discussion -- References -- Optimal Consensus Set for nD Fixed Width Annulus Fitting -- 1 Introduction -- 2 Annulus Fitting -- 2.1 Annulus Characterization -- 2.2 nD Annular Characterizations -- 3 Fitting Algorithm -- 3.1 Dual Space and Annulus Fitting in nD
N2  - This volume constitutes the refereed proceedings of the 17th International Workshop on Combinatorial Image Analysis, IWCIA 2015, held in Kolkata, India, in November 2015. The 24 revised full papers and 2 invited papers presented were carefully reviewed and selected from numerous submissions. The workshop provides theoretical foundations and methods for solving problems from various areas of human practice. In contrast to traditional approaches to image analysis which implement continuous models, float arithmetic and rounding, combinatorial image analysis features discrete modelsusing integer arithmetic. The developed algorithms are based on studying combinatorial properties of classes of digital images, and often appear to be more efficient and accurate than those based on continuous models
UR  - https://link.springer.com/10.1007/978-3-319-26145-4
ER  -