Intelligent approaches in image analysis

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Authors

  • Claus E. Liedtke

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Details

Original languageEnglish
Pages (from-to)2-10
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3478
Publication statusPublished - 30 Jun 1998
EventLaser Interferometry IX: Techniques and Analysis - San Diego, United States
Duration: 20 Jul 199820 Jul 1998

Abstract

The purpose of image analysis as a special type of signal analysis is to obtain relevant information from the physical world for decision making, like in industrial inspection, verification, alarm generation, for taking actions, like control of production systems, vehicle control, or for data transformation, like 3D-reconstruction, image coding, image rectification, etc. Any type of image analysis involves data grouping and data interpretation. The classical approach is the bottom-up strategy which is very efficient but requires extra efforts to obtain a high image quality and is quite sensitive even to slight changes in the scene setup, noise, disturbances, illumination effects, etc. The current trend in image analysis is to cope with more complex situations, like time varying scenes, spatial scenes, where the image depends on the viewing direction, or cases where the quality in one single image is too low to permit the extraction of reliable information. In these situations image analysis requires support from other sensors at different viewing angles, recordings form different time instances or the exploitation of different physical principles for image generation, i.e. multisensor data and the systematic use of knowledge. More flexibility in the analysis method is obtained by combining the classical data driven bottom-up strategy with the expectation driven top-down strategy. These new approaches will be illustrated in the paper by three examples, the analysis-by-synthesis strategy, multisensory analysis and knowledge based analysis.

Keywords

    Analysis-by-synthesis, Image analysis, Image interpretation, Knowledge based analysis, Multisensory analysis, Strategies

ASJC Scopus subject areas

Cite this

Intelligent approaches in image analysis. / Liedtke, Claus E.
In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3478, 30.06.1998, p. 2-10.

Research output: Contribution to journalConference articleResearchpeer review

Liedtke, CE 1998, 'Intelligent approaches in image analysis', Proceedings of SPIE - The International Society for Optical Engineering, vol. 3478, pp. 2-10. https://doi.org/10.1117/12.312927
Liedtke, C. E. (1998). Intelligent approaches in image analysis. Proceedings of SPIE - The International Society for Optical Engineering, 3478, 2-10. https://doi.org/10.1117/12.312927
Liedtke CE. Intelligent approaches in image analysis. Proceedings of SPIE - The International Society for Optical Engineering. 1998 Jun 30;3478:2-10. doi: 10.1117/12.312927
Liedtke, Claus E. / Intelligent approaches in image analysis. In: Proceedings of SPIE - The International Society for Optical Engineering. 1998 ; Vol. 3478. pp. 2-10.
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