Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery.

• Bridges the gap between theory and practical applications
• Covers modern concepts in computer vision as well as modern developments in imaging sensor technology
• Presents a unique interdisciplinary approach covering different areas of modern...

The second edition of a bestseller, this book is a practical guide to image processing for the natural and technical sciences community. Students, practitioners, and researchers can gain immediate access to a sound basic knowledge of image processing by referencing general principles in the natural sciences. The book describes carefully selected algorithms in detail and demonstrates real-world applications that show the reader how to solve complex image processing problems. Hundreds of photos, figures, diagrams, and tables illustrate the text, and numerous well-organized tips save countless...

The world we live in is a dynamic one: we explore it by moving through it, and many of the objects which we are interested in are also moving. Tra?c, for instance, is an example of a domain where detecting and processing visual motion is of vital interest, both in a metaphoric as well as in a purely literal sense. Visual communication is another important example of an area of science which is dominated by the need to measure, understand, and represent visual motion in an e?cient way. Visual motion is a subject of research which forces the investigator to deal...

Image sequence processing is becoming a tremendous tool for analyzing spatio-temporal data in all areas of natural science. It is the key to studying the dynamics of complex scientific phenomena. Methods from computer science and the field of application are merged, establishing new interdisciplinary research areas.

Die digitale Bildverarbeitung gewinnt in wei ten Bereichen der Wirtschaft zunehmend an Bedeutung. In der Giiterproduktion ist die fortschreiten de Automatisierung auf lange Sicht zwingend mit der Integration bild verarbeitender Systeme verbunden, urn den steigenden Anforderungen an die FlexibilWit der betrieblichen Prozesse gerecht zu werden und die Sicherung der ProduktqualiUit zu gewahrleisten. Die Bildverarbeitung er fordert interdisziplinares Zusammenwirken. Sie nutzt die Technologien verschiedener Wissenschaftsgebiete wie Lichttechnik, Optik, Mikroelek tronik, Mikrosystemtechnik und...

Selbst komplexe Aufgaben der Bildverarbeitung sind heute auf gangigen PCs losbar. Das Know-how dafur vermittelt dieses Standardwerk von den Grundlagen der digitalen Bildverarbeitung bis hin zu modernen Konzepten. Es gliedert sich in die drei Teile Bildgewinnung, Bildverarbeitung und Bildanalyse. Die Ubungsaufgaben sind grosstenteils interaktiv und konnen mit der auf CD-ROM beiliegenden Demosoftware bearbeitet werden. Die 7.Auflage ist an die Erfordernisse der Master-Studiengange angepasst worden und enthalt ein neues Kapitel uber Bildsensoren."