Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Markus Schnitzlein"'
Publikováno v:
Applied optics. 53(4)
The performance of learning-based spectral estimation is greatly influenced by the set of training samples selected to create the reconstruction model. Training sample selection schemes can be categorized into global and local approaches. Most of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::176e63dda56a27385f1d15b6e34cd48c
https://pubmed.ncbi.nlm.nih.gov/24514188
https://pubmed.ncbi.nlm.nih.gov/24514188
Publikováno v:
SITIS
This paper is aiming at improving the top view book scanner functionalities to the ability of depicting homogeneous sharpness across the output colour image. Typically, the opened book has a curved shape which results in a space-variant blur in the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a71a90f0b1a11111b654b9bc985733f
https://doi.org/10.1109/sitis.2012.123
https://doi.org/10.1109/sitis.2012.123
Autor:
Markus Schnitzlein, Bernhard Frei
Publikováno v:
Bildverarbeitung für die Medizin 2005 ISBN: 3540250522
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Die mehrkanalige bzw. multispektrale Bildgewinnung gewinnt zunehmend ein groseres Interesse — vor allem in Bezug auf die spektrale Reprasentation der zu erfassenden Objekte. Die Kenntnis der spektralen Eigenschaften ermoglicht eine differenzierte f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac313398e86c5f595fb0b280541252f
https://doi.org/10.1007/3-540-26431-0_81
https://doi.org/10.1007/3-540-26431-0_81
Publikováno v:
Reading and Learning ISBN: 9783540219040
Reading and Learning
Reading and Learning
The starting point for an automatic character recognition system (OCR, ICR) as well as for an automatic document analysis system is an optimized image processing system which performs an image separation into useful and useless information. A two-dim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cda06ea172555cf152668aa37ae1d117
https://doi.org/10.1007/978-3-540-24642-8_3
https://doi.org/10.1007/978-3-540-24642-8_3