A flexible vision-based algorithm for a book sorting system
Gotoh, T.
Toriu, T.
Sasaki, S.
Yoshida, M.
Fujitsu Labs. Ltd., Kawasaki;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: May 1988
Volume: 10,
Issue: 3
On page(s): 393-399
ISSN: 0162-8828
References Cited: 12
CODEN: ITPIDJ
INSPEC Accession Number: 3182652
Digital Object Identifier: 10.1109/34.3903
Current Version Published: 2002-08-06
Abstract
A flexible vision-based algorithm for a book sorting system is
presented. The algorithm is based on a discrimination model that is
adaptively generated for the current object classes by learning. The
algorithm consists of an image normalization process, a feature element
extraction process, a learning process, and a recognition process. The
image normalization process extracts the contour of the object in an
image, and geometrically normalizes the image. The feature extraction
process converts the normalized image to the pyramidal representation,
and the feature element is extracted from each resolution level. The
learning process generates a discrimination model, which represents the
differences between classes, based on hierarchical clustering. In the
recognition process, the input images are hierarchically discriminated
under the control of the decision tree. To evaluate the algorithm, a
simulation system was implemented on a general-purpose computer and an
image processor was developed
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