Abstract
We present several objective functions for vector field segmentation. Leclerc's MRF model is extended by the addition of information-theoretic penalties for regions and distinct means. Massively parallel optimization algorithms are presented. Standard methods of signal detection and estimation are used to develop a theoretical performance analysis, which quantitatively predicts the performance at realistic noise levels. Theoretical and experimental results agree fairly well.
Original language | English (US) |
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Pages (from-to) | 92-103 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 1904 |
DOIs | |
State | Published - Jun 10 1993 |
Event | Image Modeling 1993 - San Jose, United States Duration: Jan 31 1993 → Feb 5 1993 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering