Abstract
A multiparameter binary τ-opening is a union of parameterized openings in which parameters for each opening are individually defined and a structuring element can be parameterized relative to both size and shape. The reconstructive filter corresponding to an opening is defined by fully passing any grain not eliminated by the opening and deleting all other grains. Adaptive design results from treating the parameter vector of a reconstructive multiparameter τ-opening as the state space of a Markov chain. The present paper considers the relationship between Markovian queueing networks and adaptive multiparameter τ-openings for the signal-union-noise model.
Original language | English (US) |
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Pages (from-to) | 59-65 |
Number of pages | 7 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 3304 |
DOIs | |
State | Published - 1998 |
Externally published | Yes |
Event | Nonlinear Image Processing IX - San Jose, CA, United States Duration: Jan 26 1998 → Jan 27 1998 |
Keywords
- Adaptive filter
- Markov chain
- Mathematical Morphology
- Opening
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering