Automatic representation of binary images

CABRELLI, CARLOS A.; MOLTER, URSULA M.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

IEEE COMPUTER SOC

Lugar: Los Alamitos, CA, USA; Año: 1990 vol. 12 p. 1190 - 1196

0162-8828

In this correspondence we propose a method to represent black and white images through the description of the boundaries of the object that define such images. In order to obtain such representation, this method uses several algorithms which perform boundary extraction, contour following, segmentation, pattern classification and curve fitting. One of the great 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. We also show the application of these algorithms to characters in order to obtain downloadable fonts for modern laser printers.