Abstract
There are many methods of processing a digitized image. Some are local, such as edge finding, and some are global, such as contrast enhancement. There are frequency domain methods (using the Fourier transform) and spatial domain methods that process the direct values. Among all these methods, the maximum entropy (ME) method claims to do the best job, though sometimes at a computationally high burden. Adaptive Kalman filters are claimed to be as good as ME and computationally more attractive. Outside the analytic world, neural networks and fuzzy set theory have been applied with remarkable results. This paper presents a new methodology based on possibility theory that is in some ways analogous to the ME method of probability theory.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | David P. Casasent |
| Publisher | Publ by Int Soc for Optical Engineering |
| Pages | 446-456 |
| Number of pages | 11 |
| Volume | 1607 |
| ISBN (Print) | 0819407445 |
| State | Published - 1992 |
| Externally published | Yes |
| Event | Intelligent Robots and Computer Vision X: Algorithms and Techniques - Boston, MA, USA Duration: Nov 11 1991 → Nov 13 1991 |
Other
| Other | Intelligent Robots and Computer Vision X: Algorithms and Techniques |
|---|---|
| City | Boston, MA, USA |
| Period | 11/11/91 → 11/13/91 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
Possibilistic image processing. / Wierman, Mark J.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / David P. Casasent. Vol. 1607 Publ by Int Soc for Optical Engineering, 1992. p. 446-456.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Possibilistic image processing
AU - Wierman, Mark J.
PY - 1992
Y1 - 1992
N2 - There are many methods of processing a digitized image. Some are local, such as edge finding, and some are global, such as contrast enhancement. There are frequency domain methods (using the Fourier transform) and spatial domain methods that process the direct values. Among all these methods, the maximum entropy (ME) method claims to do the best job, though sometimes at a computationally high burden. Adaptive Kalman filters are claimed to be as good as ME and computationally more attractive. Outside the analytic world, neural networks and fuzzy set theory have been applied with remarkable results. This paper presents a new methodology based on possibility theory that is in some ways analogous to the ME method of probability theory.
AB - There are many methods of processing a digitized image. Some are local, such as edge finding, and some are global, such as contrast enhancement. There are frequency domain methods (using the Fourier transform) and spatial domain methods that process the direct values. Among all these methods, the maximum entropy (ME) method claims to do the best job, though sometimes at a computationally high burden. Adaptive Kalman filters are claimed to be as good as ME and computationally more attractive. Outside the analytic world, neural networks and fuzzy set theory have been applied with remarkable results. This paper presents a new methodology based on possibility theory that is in some ways analogous to the ME method of probability theory.
UR - http://www.scopus.com/inward/record.url?scp=0026628507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026628507&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026628507
SN - 0819407445
VL - 1607
SP - 446
EP - 456
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Casasent, David P.
PB - Publ by Int Soc for Optical Engineering
ER -