Image Processing, Analysis and Machine Vision

Milan Sonka, Roger Boyle, Vaclav Hlavac

ISBN 10: 0412455706 / ISBN 13: 9780412455704

Editore: Springer US, 1993

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Zustand: Gut - Gebrauchs- und Lagerspuren. Innen: Geknickt. | Seiten: 580 | Sprache: Englisch | Produktart: Bücher. Codice articolo 25001804/3

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Titolo: Image Processing, Analysis and Machine Vision

Casa editrice: Springer US

Data di pubblicazione: 1993

Legatura: Brossura

Condizione: Gut

Descrizione articolo

Riassunto:

Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter- est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in- creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover - most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the 'elementary' level - that appropriate for undergraduates beginning or completing their studies of the topic, or for Master's students - and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions.

Contenuti:

1 Introduction.- 2 The digitized image and its properties.- 3 Data structures for image analysis.- 4 Image pre-processing.- 5 Segmentation.- 6 Shape representation and description.- 7 Object recognition.- 8 Image understanding.- 9 3D Vision.- 10 Mathematical morphology.- 11 Linear discrete image transforms.- 12 Image data compression.- 13 Texture.- 14 Motion analysis.