Notes on a linguistic description as the basis for automatic image understanding
Ryszard Tadeusiewicz; Marek R. Ogiela; Piotr S. Szczepaniak
International Journal of Applied Mathematics and Computer Science (2009)
- Volume: 19, Issue: 1, page 143-150
- ISSN: 1641-876X
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topRyszard Tadeusiewicz, Marek R. Ogiela, and Piotr S. Szczepaniak. "Notes on a linguistic description as the basis for automatic image understanding." International Journal of Applied Mathematics and Computer Science 19.1 (2009): 143-150. <http://eudml.org/doc/207915>.
@article{RyszardTadeusiewicz2009,
abstract = {The main paradigm of image understanding and a concept for its practical machine realisation are presented. The crucial elements of the presented approach are the formalisation of human knowledge about the class of images that are to be automatically interpreted, a linguistic description and the realization of cognitive resonance.},
author = {Ryszard Tadeusiewicz, Marek R. Ogiela, Piotr S. Szczepaniak},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {automatic understanding; computer vision; digital images; semantics; image processing},
language = {eng},
number = {1},
pages = {143-150},
title = {Notes on a linguistic description as the basis for automatic image understanding},
url = {http://eudml.org/doc/207915},
volume = {19},
year = {2009},
}
TY - JOUR
AU - Ryszard Tadeusiewicz
AU - Marek R. Ogiela
AU - Piotr S. Szczepaniak
TI - Notes on a linguistic description as the basis for automatic image understanding
JO - International Journal of Applied Mathematics and Computer Science
PY - 2009
VL - 19
IS - 1
SP - 143
EP - 150
AB - The main paradigm of image understanding and a concept for its practical machine realisation are presented. The crucial elements of the presented approach are the formalisation of human knowledge about the class of images that are to be automatically interpreted, a linguistic description and the realization of cognitive resonance.
LA - eng
KW - automatic understanding; computer vision; digital images; semantics; image processing
UR - http://eudml.org/doc/207915
ER -
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