Shape Detection in Computer Vision Using the Hough Transform.

Leavers, V.F.:

ISBN 10: 3540197230 / ISBN 13: 9783540197232

Published by Springer, 1992

About this Item

220 p. In very good condition. Corners mildly bumped. ISBN: 9783540197232 Sprache: Englisch Gewicht in Gramm: 450 17,0 x 1,3 x 24,2 cm, softcover.

Seller Inventory # 59273

Bibliographic Details

• Title: Shape Detection in Computer Vision Using the Hough Transform.
• Publisher: Springer
• Publication Date: 1992
• Language: English
• ISBN 10: 3540197230
• ISBN 13: 9783540197232
• Binding: Soft cover
• Condition: Sehr gut
• Weight: 450 grams
• Seller catalogs:
  • Informatik, Hardware, Software

About this title

Synopsis

Shape detection techniques are an important aspect of computer vision and are used to transform raw image data into the symbolic representations needed for object recognition and location. However, the availability and application of research data relating to shape detection has traditionally been limited by a lack of computational and mathematical skill on the part of the intended end-user. As a result progress in areas such as the automation of visual inspection techniques, where shape detection couls play a pivotal role, has been relatively slow. In this volume, Violet Leavers, an established author and researcher in the field, examines the Hough Transform, a technique which is particularly relevant to industrial applications. By making computational recipes and advice available to the non-specialist, the book aims to popularize the technique, and to provide a bridge between low level computer vision tasks and specialist applications. In addition, Shape Detection in Computer Vision Using the Hough Transform assesses practical and theoretical issues which were previously only available in scientific literature in a way which is easily accessible to the non-specialist user. Shape Detection in Computer Vision Using the Hough Transform fills an obvious gap in the existing market. It is an important textbook which will provide postgraduate students with a thorough grounding in the field, and will also be of interest to junior research staff and program designers.