Automatic Representation of Binary Images

In this correspondence we propose a method to represent black and white images through the description of the boundaries of the objects that define such images. In order to obtain such a representation, this method uses several algorithms which perform boundary extraction, contour following, segment...

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Detalles Bibliográficos
Autores principales:	Cabrelli, Carlos Alberto, Molter, Ursula Maria
Publicado:	1990
Materias:	Boundary extraction character description computational vision contour-following control and singular points curve fitting curve recognition segmentation shape description Computer Programming > Algorithms Printing > Laser Applications Boundary Extraction Curve Fitting Feature Extraction Image Representation Image Segmentation Pattern Classification Image Processing
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01628828_v12_n12_p1190_Cabrelli http://hdl.handle.net/20.500.12110/paper_01628828_v12_n12_p1190_Cabrelli
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_01628828_v12_n12_p1190_Cabrelli
record_format	dspace
spelling	paper:paper_01628828_v12_n12_p1190_Cabrelli2023-06-08T15:13:41Z Automatic Representation of Binary Images Cabrelli, Carlos Alberto Molter, Ursula Maria Boundary extraction character description computational vision contour-following control and singular points curve fitting curve recognition segmentation shape description Computer Programming--Algorithms Printing--Laser Applications Boundary Extraction Curve Fitting Feature Extraction Image Representation Image Segmentation Pattern Classification Image Processing In this correspondence we propose a method to represent black and white images through the description of the boundaries of the objects that define such images. 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 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. © 1990 IEEE Fil:Cabrelli, C.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Molter, U.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 1990 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01628828_v12_n12_p1190_Cabrelli http://hdl.handle.net/20.500.12110/paper_01628828_v12_n12_p1190_Cabrelli
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Boundary extraction character description computational vision contour-following control and singular points curve fitting curve recognition segmentation shape description Computer Programming--Algorithms Printing--Laser Applications Boundary Extraction Curve Fitting Feature Extraction Image Representation Image Segmentation Pattern Classification Image Processing
spellingShingle	Boundary extraction character description computational vision contour-following control and singular points curve fitting curve recognition segmentation shape description Computer Programming--Algorithms Printing--Laser Applications Boundary Extraction Curve Fitting Feature Extraction Image Representation Image Segmentation Pattern Classification Image Processing Cabrelli, Carlos Alberto Molter, Ursula Maria Automatic Representation of Binary Images
topic_facet	Boundary extraction character description computational vision contour-following control and singular points curve fitting curve recognition segmentation shape description Computer Programming--Algorithms Printing--Laser Applications Boundary Extraction Curve Fitting Feature Extraction Image Representation Image Segmentation Pattern Classification Image Processing
description	In this correspondence we propose a method to represent black and white images through the description of the boundaries of the objects that define such images. 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 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. © 1990 IEEE
author	Cabrelli, Carlos Alberto Molter, Ursula Maria
author_facet	Cabrelli, Carlos Alberto Molter, Ursula Maria
author_sort	Cabrelli, Carlos Alberto
title	Automatic Representation of Binary Images
title_short	Automatic Representation of Binary Images
title_full	Automatic Representation of Binary Images
title_fullStr	Automatic Representation of Binary Images
title_full_unstemmed	Automatic Representation of Binary Images
title_sort	automatic representation of binary images
publishDate	1990
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01628828_v12_n12_p1190_Cabrelli http://hdl.handle.net/20.500.12110/paper_01628828_v12_n12_p1190_Cabrelli
work_keys_str_mv	AT cabrellicarlosalberto automaticrepresentationofbinaryimages AT molterursulamaria automaticrepresentationofbinaryimages
_version_	1768546671258501120

Automatic Representation of Binary Images

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