|
|
|
|
LEADER |
03124nam a22006375i 4500 |
001 |
978-3-319-26145-4 |
003 |
DE-He213 |
005 |
20160107022104.0 |
007 |
cr nn 008mamaa |
008 |
160105s2015 gw | s |||| 0|eng d |
020 |
|
|
|a 9783319261454
|9 978-3-319-26145-4
|
024 |
7 |
|
|a 10.1007/978-3-319-26145-4
|2 doi
|
040 |
|
|
|d GrThAP
|
050 |
|
4 |
|a TA1637-1638
|
050 |
|
4 |
|a TA1634
|
072 |
|
7 |
|a UYT
|2 bicssc
|
072 |
|
7 |
|a UYQV
|2 bicssc
|
072 |
|
7 |
|a COM012000
|2 bisacsh
|
072 |
|
7 |
|a COM016000
|2 bisacsh
|
082 |
0 |
4 |
|a 006.6
|2 23
|
082 |
0 |
4 |
|a 006.37
|2 23
|
245 |
1 |
0 |
|a Combinatorial Image Analysis
|h [electronic resource] :
|b 17th International Workshop, IWCIA 2015, Kolkata, India, November 24-27, 2015. Proceedings /
|c edited by Reneta P. Barneva, Bhargab B. Bhattacharya, Valentin E. Brimkov.
|
250 |
|
|
|a 1st ed. 2015.
|
264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
|
300 |
|
|
|a XIII, 363 p. 177 illus. in color.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 9448
|
520 |
|
|
|a 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.
|
650 |
|
0 |
|a Computer science.
|
650 |
|
0 |
|a Algorithms.
|
650 |
|
0 |
|a Computer science
|x Mathematics.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Computer graphics.
|
650 |
|
0 |
|a Image processing.
|
650 |
|
0 |
|a Pattern recognition.
|
650 |
1 |
4 |
|a Computer Science.
|
650 |
2 |
4 |
|a Image Processing and Computer Vision.
|
650 |
2 |
4 |
|a Computer Graphics.
|
650 |
2 |
4 |
|a Pattern Recognition.
|
650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
|
650 |
2 |
4 |
|a Discrete Mathematics in Computer Science.
|
700 |
1 |
|
|a Barneva, Reneta P.
|e editor.
|
700 |
1 |
|
|a Bhattacharya, Bhargab B.
|e editor.
|
700 |
1 |
|
|a Brimkov, Valentin E.
|e editor.
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319261447
|
830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 9448
|
856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-26145-4
|z Full Text via HEAL-Link
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-LNC
|
950 |
|
|
|a Computer Science (Springer-11645)
|