Details
Original language | English |
---|---|
Pages (from-to) | 2-10 |
Number of pages | 9 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 3478 |
Publication status | Published - 30 Jun 1998 |
Event | Laser Interferometry IX: Techniques and Analysis - San Diego, United States Duration: 20 Jul 1998 → 20 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
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
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In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3478, 30.06.1998, p. 2-10.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Intelligent approaches in image analysis
AU - Liedtke, Claus E.
PY - 1998/6/30
Y1 - 1998/6/30
N2 - 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.
AB - 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.
KW - Analysis-by-synthesis
KW - Image analysis
KW - Image interpretation
KW - Knowledge based analysis
KW - Multisensory analysis
KW - Strategies
UR - http://www.scopus.com/inward/record.url?scp=33749868110&partnerID=8YFLogxK
U2 - 10.1117/12.312927
DO - 10.1117/12.312927
M3 - Conference article
AN - SCOPUS:33749868110
VL - 3478
SP - 2
EP - 10
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
T2 - Laser Interferometry IX: Techniques and Analysis
Y2 - 20 July 1998 through 20 July 1998
ER -