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Combinatorial Image Analysis: 17th International Workshop, IWCIA 2015, Kolkata, India, November 24-27, 2015. Proceedings: Lecture Notes in Computer Science, cartea 9448

Editat de Reneta P. Barneva, Bhargab B. Bhattacharya, Valentin E. Brimkov
en Limba Engleză Paperback – 4 noi 2015
This volume constitutes the refereed proceedings of the17th International Workshop on Combinatorial Image Analysis, IWCIA 2015, heldin Kolkata, India, in November 2015.
The 24 revised full papers and 2 invited papers presentedwere carefully reviewed and selected from numerous submissions. The workshopprovides theoretical foundations and methods for solving problems from variousareas of human practice. In contrast to traditional approaches to imageanalysis 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 ofclasses of digital images, and often appear to be more efficient and accuratethan those based on continuous models.
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Specificații

ISBN-13: 9783319261447
ISBN-10: 3319261444
Pagini: 363
Ilustrații: XIII, 363 p. 177 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.53 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Theoretical Foundations of Combinatorial Image Analysis.- Digital Geometry and Topology.- Grammars and Other Formal Tools.- From Theory to Applications.


Textul de pe ultima copertă

This volume constitutes the refereed proceedings of the17th International Workshop on Combinatorial Image Analysis, IWCIA 2015, heldin Kolkata, India, in November 2015.
The 24 revised full papers and 2 invited papers presentedwere carefully reviewed and selected from numerous submissions. The workshopprovides theoretical foundations and methods for solving problems from variousareas of human practice. In contrast to traditional approaches to imageanalysis 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 ofclasses of digital images, and often appear to be more efficient and accuratethan those based on continuous models.