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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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
1990
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 04488caa a22005897a 4500 | ||
|---|---|---|---|
| 001 | PAPER-11965 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518204210.0 | ||
| 008 | 190411s1990 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-0025547190 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Cabrelli, C.A. | |
| 245 | 1 | 0 | |a Automatic Representation of Binary Images |
| 260 | |c 1990 | ||
| 506 | |2 openaire |e Política editorial | ||
| 504 | |a Duda, R.O., Hart, P.E., (1973) Pattern Classification and Scene Analysis, , New York: Wiley | ||
| 504 | |a Hildebrandt, F.B., (1987) Introduction to Numerical Analysis, , 2nd ed. New York: Dover | ||
| 504 | |a Jain, A.K., (1988) Fundamentals in Digital Image Processing, , Englewood Cliffs, NJ: Prentice-Hall | ||
| 504 | |a Pavlidis, T., (1982) A Igorithms for Graphics and Image Processing, , Rockville, MD: Computer Science Press | ||
| 504 | |a Serra, J., (1982) Image Analysis and Mathematical Morphology, , New York: Academic | ||
| 520 | 3 | |a 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 |l eng | |
| 536 | |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas | ||
| 536 | |a Detalles de la financiación: Image representation is one of the major topics of digital image processing. This subject has been addressed from a number of different points of view. Each approach achieves, more or less successfully, the most desirable features of a proper representation, such as data compression, simplicity of coding and decoding, scaling and invariance under rigid motions, Manuscript received December 21, 1988; revised June 14, 1990. Recommended for acceptance by C.Y. Suen. This work was supported by the Conicet, Argentina. The authors are with the Department of Applied Mathematics, University of Waterloo, Waterloo, Ont. N2L 3G1, Canada, on leave to the Departamento de Matematica, Universidad de Buenos Ares, Pahellon I Ciudad Universitaria, 1428 Buenos Ares, Argentina. IEEE Log Number 9038393. | ||
| 593 | |a Department of Applied Mathematics, University of Waterloo, Waterloo, Ont. N2L 3G1, United States | ||
| 593 | |a Departamento de Matematica, Universidad de Buenos Aires, Pabellon I Ciudad Universitaria, 1428 Buenos Aires, Argentina | ||
| 690 | 1 | 0 | |a BOUNDARY EXTRACTION |
| 690 | 1 | 0 | |a CHARACTER DESCRIPTION |
| 690 | 1 | 0 | |a COMPUTATIONAL VISION |
| 690 | 1 | 0 | |a CONTOUR-FOLLOWING |
| 690 | 1 | 0 | |a CONTROL AND SINGULAR POINTS |
| 690 | 1 | 0 | |a CURVE FITTING |
| 690 | 1 | 0 | |a CURVE RECOGNITION |
| 690 | 1 | 0 | |a SEGMENTATION |
| 690 | 1 | 0 | |a SHAPE DESCRIPTION |
| 690 | 1 | 0 | |a COMPUTER PROGRAMMING--ALGORITHMS |
| 690 | 1 | 0 | |a PRINTING--LASER APPLICATIONS |
| 690 | 1 | 0 | |a BOUNDARY EXTRACTION |
| 690 | 1 | 0 | |a CURVE FITTING |
| 690 | 1 | 0 | |a FEATURE EXTRACTION |
| 690 | 1 | 0 | |a IMAGE REPRESENTATION |
| 690 | 1 | 0 | |a IMAGE SEGMENTATION |
| 690 | 1 | 0 | |a PATTERN CLASSIFICATION |
| 690 | 1 | 0 | |a IMAGE PROCESSING |
| 700 | 1 | |a Molter, U.M. | |
| 773 | 0 | |d 1990 |g v. 12 |h pp. 1190-1196 |k n. 12 |p IEEE Trans Pattern Anal Mach Intell |x 01628828 |w (AR-BaUEN)CENRE-1579 |t IEEE Transactions on Pattern Analysis and Machine Intelligence | |
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| 856 | 4 | 0 | |u https://doi.org/10.1109/34.62608 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_01628828_v12_n12_p1190_Cabrelli |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01628828_v12_n12_p1190_Cabrelli |y Registro en la Biblioteca Digital |
| 961 | |a paper_01628828_v12_n12_p1190_Cabrelli |b paper |c PE | ||
| 962 | |a info:eu-repo/semantics/article |a info:ar-repo/semantics/artículo |b info:eu-repo/semantics/publishedVersion | ||
| 999 | |c 72918 | ||