<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Notes on a Linguistic Description as the Basis for Automatic Image Understanding

Departament of Automatics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Cracow, Poland

Institute of Computer Science, Technical University of Łódź, ul. Wólczanska 215, 90-924 Łódź, Poland

Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland

International Journal of Applied Mathematics and Computer Science

{"article-title":"Notes on a Linguistic Description as the Basis for Automatic Image Understanding"}

The main paradigm of image understanding and a concept for its practical machine realisation are presented. The crucial elements of the presented approach are...

Notes on a Linguistic Description as the Basis for Automatic Image Understanding

Online veröffentlicht: 02. Apr. 2009

Seitenbereich: 143 - 150

DOI: https://doi.org/10.2478/v10006-009-0013-7

Schlüsselwörter
automatic understanding, computer vision, digital images, semantics, image processing

This content is open access.

Notes on a Linguistic Description as the Basis for Automatic Image Understanding

Online veröffentlicht: 02. Apr. 2009

Seitenbereich: 143 - 150

DOI: https://doi.org/10.2478/v10006-009-0013-7

Schlüsselwörterautomatic understanding, computer vision, digital images, semantics, image processing

This content is open access.

Schlüsselwörter
automatic understanding, computer vision, digital images, semantics, image processing