By Topic

Automatic representation of binary images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Cabrelli, C.A. ; Dept. of Appl. Math., Waterloo Univ., Ont., Canada ; Molter, U.M.

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

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:12 ,  Issue: 12 )