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Machine Vision: Theory, Algorithms, Practicalities (Signal Processing and Its Applications) - Tapa dura
Sinopsis
The field of machine vision has expanded extensively since the First Edition of Machine Vision was published by Academic Press in 1990. As a result, this Second Edition contains significant amounts of new material on artificial neural networks, mathematical morphology, motion, invariance, texture analysis, x-ray inspection, and foreign object detection. Intermediate level vision is examined in depth (especially Hough transforms), and automated visual inspectionis discussed. The author takes care to consider theoretical aspects as well as practical applications, including perspective invariants and robust statistics. Written in a user-friendly style and full of up-to-date methods, Machine Vision, Second Edition will be an essential volume for students and professionals in the field.
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Acerca del autor
Roy Davies is Emeritus Professor of Machine Vision at Royal Holloway, University of London. He has worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests include automated visual inspection, surveillance, vehicle guidance, crime detection and neural networks. He has published more than 200 papers, and three books. Machine Vision: Theory, Algorithms, Practicalities (1990) has been widely used internationally for more than 25 years, and is now out in this much enhanced fifth edition. Roy holds a DSc at the University of London, and has been awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.
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- EditorialAcademic press
- Año de publicación1997
- ISBN 10 012206092X
- ISBN 13 9780122060922
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas750
- Contacto del fabricanteno disponible
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Imagen de archivo
Machine Vision, Second Edition: Theory, Algorithms, Practicalities (Signal Processing and its Applications)
Publicado por
Morgan Kaufmann, 1996
ISBN 10: 012206092X
ISBN 13: 9780122060922
Antiguo o usado
Tapa dura
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_345573561
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