Sieves are operators which exploit disciplinary knowledge for a contextual elimination of structures hindering the interpretation of a digital image. A sieve is realized as a conditional attributed Lindenmayer-system with interaction, a generative tool defined in the paper.
KNOWLEDGE-BASED CONTEXTUAL RECOGNITION AND SIEVING OF DIGITAL IMAGES / Bottoni, Paolo Gaspare; P., Mussio; M., Protti; R., Schettini. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - STAMPA. - 10:2(1989), pp. 101-110. [10.1016/0167-8655(89)90074-3]
KNOWLEDGE-BASED CONTEXTUAL RECOGNITION AND SIEVING OF DIGITAL IMAGES
BOTTONI, Paolo Gaspare;
1989
Abstract
Sieves are operators which exploit disciplinary knowledge for a contextual elimination of structures hindering the interpretation of a digital image. A sieve is realized as a conditional attributed Lindenmayer-system with interaction, a generative tool defined in the paper.File allegati a questo prodotto
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