Automatic representation of binary images
Cabrelli, C.A.
Molter, U.M.
Dept. of Appl. Math., Waterloo Univ., Ont.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Dec 1990
Volume: 12,
Issue: 12
On page(s): 1190-1196
ISSN: 0162-8828
References Cited: 5
CODEN: ITPIDJ
INSPEC Accession Number: 3868801
Digital Object Identifier: 10.1109/34.62608
Current Version Published: 2002-08-06
Abstract
A method of representing black and white images through the
description of the boundaries of the objects that define such images is
proposed. In order to obtain such a representation, this method uses
several algorithms which perform boundary extraction, contour following,
segmentation, pattern classification, and curve fitting. One of the
advantages of this method is that the image can be reconstructed at any
size. It can also be rotated or translated without losing any quality.
In addition to achieving a good data-compression rate, the
coding-decoding process is computationally very efficient. Also shown is
the application of these algorithms to characters in order to obtain
fonts that may be downloaded for modern laser printers
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