Combinatorial Image Analysis
17th International Workshop, IWCIA 2015, Kolkata, India, November 24-27, 2015. Proceedings
Herausgegeben: Barneva, Reneta P.; Bhattacharya, Bhargab B.; Brimkov, Valentin E.
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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 arithmeti...
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.
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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