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, C.A., Molter, U.M.
Formato: JOUR
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: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 todo:paper_01628828_v12_n12_p1190_Cabrelli
record_format dspace
spelling todo:paper_01628828_v12_n12_p1190_Cabrelli2023-10-03T15:01:36Z Automatic Representation of Binary Images Cabrelli, C.A. Molter, U.M. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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, C.A.
Molter, U.M.
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
format JOUR
author Cabrelli, C.A.
Molter, U.M.
author_facet Cabrelli, C.A.
Molter, U.M.
author_sort Cabrelli, C.A.
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
url http://hdl.handle.net/20.500.12110/paper_01628828_v12_n12_p1190_Cabrelli
work_keys_str_mv AT cabrellica automaticrepresentationofbinaryimages
AT molterum automaticrepresentationofbinaryimages
_version_ 1807321662830411776

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