Using probabilistic domain knowledge to reduce the expected computational cost of template matching-Reference-Cited by-同舟云学术

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Using probabilistic domain knowledge to reduce the expected computational cost of template matching

Published:1990-09 Issue:3 Volume:51 Page:219-234
ISSN:0734-189X
Container-title:Computer Vision, Graphics, and Image Processing
language:en
Short-container-title:Computer Vision, Graphics, and Image Processing

Author:

Margalit Avraham,Rosenfeld Azriel

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference7 articles.

1. Computer Image Processing and Recognition;Hall,1979

2. Using probabilistic domain knowledge to reduce the expected cost of matching;Rosenfeld,1988

3. Digital Picture Processing;Rosenfeld,1982

4. Digital Picture Processing;Rosenfeld,1982

5. Markov random field texture model;Cross;IEEE Trans. Pattern Anal. Mach. Intell.,1983

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1. Minimal-memory bit-vector architecture for computational mathematical morphology using subspace projections;IEEE Transactions on Image Processing;2005-08

2. Markov random field approach to region extraction using Tabu Search;Journal of Visual Communication and Image Representation;2005-04

3. Summation;Foundations of Image Understanding;2001

4. Spatial color indexing and applications;International Journal of Computer Vision;1999

5. Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm;Evolutionary Image Analysis, Signal Processing and Telecommunications;1999

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