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
Documento: | Artículo |
Título: | Automatic Representation of Binary Images |
Autor: | Cabrelli, C.A.; Molter, U.M. |
Filiación: | Department of Applied Mathematics, University of Waterloo, Waterloo, Ont. N2L 3G1, United States Departamento de Matematica, Universidad de Buenos Aires, Pabellon I Ciudad Universitaria, 1428 Buenos Aires, Argentina |
Palabras clave: | 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 |
Año: | 1990 |
Volumen: | 12 |
Número: | 12 |
Página de inicio: | 1190 |
Página de fin: | 1196 |
DOI: | http://dx.doi.org/10.1109/34.62608 |
Título revista: | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Título revista abreviado: | IEEE Trans Pattern Anal Mach Intell |
ISSN: | 01628828 |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01628828_v12_n12_p1190_Cabrelli |