Fr. 52.50

Algorithms for 2D Engineering Drawings Recognition - Implementation and Evaluation

Inglese · Tascabile

Spedizione di solito entro 1 a 2 settimane (il titolo viene stampato sull'ordine)

Descrizione

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Research works of 2D CAD conversion of engineering drawings are presented. We developed a sparse pixel vectorization algorithm for crude vectorization, which is fast and accurate for preprocessing of graphics recognition. We also proposed a generic, flexible and adaptive graphics recognition framework and applied it to the detection of lines of various shapes (straight, circular, and polyline) and various styles (solid, dashed, dash-dotted, dash-dot-dotted), text, arrowheads, leaders (straight and arc), dimension sets, and hatched areas with groups of hatching lines. Evaluation of these algorithms proved their high performances. The performance evaluation protocol we developed has also been used in many pattern recognition competitions. The vehicle for these researches has been the Machine Drawing Understanding System (MDUS) we developed for recognition of line drawings in general and mechanical engineering drawings in particular, which won first place in the first GREC workshop in 1995 and was evaluated as the best system for mechanical engineering drawings recognition in the second GERC workshop in 1997. It also won a Third Prize in the first ACM Quest for Java contest in 1997.

Info autore










Liu Wenyin, IAPR Fellow, BEng (Tsinghua University) & DSc (Technion), was a faculty member of Tsinghua, Microsoft Research Asia, City Univ. of Hong Kong, is deputy director of MERC at CityU HK.Dov Dori, Fellow of IAPR & INCOSE, PhD (Weizmann), is Visiting Professor at MIT and heads the Enterprise System Modeling Lab at Technion. He invented OPM.

Dettagli sul prodotto

Autori Dov Dori, Wenyi Liu, Wenyin Liu
Editore LAP Lambert Academic Publishing
 
Lingue Inglese
Formato Tascabile
Pubblicazione 06.09.2018
 
EAN 9783659535772
ISBN 978-3-659-53577-2
Pagine 88
Dimensioni 150 mm x 220 mm x 5 mm
Peso 150 g
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo

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