Conceptual representation for image processing algorithms: hybridation of concepts

Brigitte Hoeltzener-Douarin; Olivier Scart; Patrick J. Bonnin; Edwige E. Pissaloux

doi:10.1117/12.217423

22 August 1995 Conceptual representation for image processing algorithms: hybridation of concepts

Brigitte Hoeltzener-Douarin, Olivier Scart, Patrick J. Bonnin, Edwige E. Pissaloux

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217423
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

The field of knowledge sharing designed from conceptual specifications-ontologies and the field of logical modeling of goal achievement have an impact on processing design by using image data explanations, from sensors to physics which deals with the real world. We report in this paper some illustratioons and preliminary models dealing with the enhancement of relations which exist between conceptualization and image processing (IP). In this framework, the paper focuses on elementary models which are in correspondence with categories of IP objects, functions, and properties. The aim of this approach is to formalize conceptual domains from conceptual specifications (ontologies) and use these conceptual models in order to guarantee the adequacy between domains, and to establish a taxinomy of each domain.

Citation Download Citation

Brigitte Hoeltzener-Douarin, Olivier Scart, Patrick J. Bonnin, and Edwige E. Pissaloux "Conceptual representation for image processing algorithms: hybridation of concepts", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217423

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