Combinatorial Image Analysis [electronic resource] : 17th International Workshop, IWCIA 2015, Kolkata, India, November 24-27, 2015. Proceedings / edited by Reneta P. Barneva, Bhargab B. Bhattacharya, Valentin E. Brimkov.
Contributor(s): Barneva, Reneta P [editor.]
| Bhattacharya, Bhargab B [editor.] | Brimkov, Valentin E [editor.] | SpringerLink (Online service).
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BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 9448Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: XIII, 363 p. 177 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319261454.Subject(s): Computer vision | Computer graphics | Pattern recognition systems | Artificial intelligence | Algorithms | Computer science -- Mathematics | Discrete mathematics | Computer Vision | Computer Graphics | Automated Pattern Recognition | Artificial Intelligence | Algorithms | Discrete Mathematics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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.
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