Selection of image classifiers

1 January 2000

journal article
Published by Institution of Engineering and Technology (IET) in Electronics Letters

Vol. 36 (5), 420-422
https://doi.org/10.1049/el:20000374

Abstract

An approach to classifier combination based on the concept of `dynamic classifier selection' is presented. The results reported show that the proposed approach enables effective image classification systems to be developed

Keywords

EFFECTIVE IMAGE CLASSIFICATION SYSTEMS
IMAGE CLASSIFIERS
PATTERN RECOGNITION
IMAGE CLASSIFICATION SCHEMES
DYNAMIC CLASSIFIER SELECTION
CLASSIFIER COMBINATION

This publication has 3 references indexed in Scilit:

Combination of multiple classifiers using local accuracy estimates
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
Classification of multisensor remote-sensing images by structured neural networks
IEEE Transactions on Geoscience and Remote Sensing, 1995
Methods of combining multiple classifiers and their applications to handwriting recognition
IEEE Transactions on Systems, Man, and Cybernetics, 1992

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