Hands. A Pattern Theoretic Study of Biological Shapes [SIGNED]

U. Grenander, Y. Chow, D.M. Keenan

ISBN 10: 0387973869 / ISBN 13: 9780387973869

Verlag: Springer-Verlag, New York, 1991

Beschreibung

Unread copy, a couple of light marks to page edges, otherwise excellent. Inscribed by co-author Ulf Grenander to half title page: 'To Kanti, who forced me to sign this! Ulf'. Overall condition is Near Fine. International postage will be less than the stated rate. Actual costs are Europe £12.00; USA £15.00; Oceania £16.00; Rest of World £16.00. A postage refund will be made after the order has been placed. Size: 6 x 9 inches (15 x 23 cm).

Bestandsnummer des Verkäufers 1189E212

Bibliografische Details

• Titel: Hands. A Pattern Theoretic Study of Biological Shapes [SIGNED]
• Verlag: Springer-Verlag, New York
• Erscheinungsjahr: 1991
• Sprache: Englisch
• ISBN-10: 0387973869
• ISBN-13: 9780387973869
• Einband: Paperback. Printed pages: 128
• Auflage: 1st Edition.
• Zustand: Near Fine
• Signiert: Signed by Author
• Verkäuferkataloge:
  • Engineering & Technical

Über diesen Titel

Inhaltsangabe

In this book a global shape model is developed and applied to the analysis of real pictures acquired with a visible light camera under varying conditions of optical degradation.

Reseña del editor

In this book a global shape model is developed and applied to the analysis of real pictures acquired with a visible light camera under varying conditions of optical degradation. Computational feasibility of the algorithms derived from this model is achieved by analytical means. The aim is to develop methods for image understanding based on structured restoration, for example automatic detection of abnormalities. We also want to find the limits of applicability of the algorithms. This is done by making the optical degradations more and more severe until the algorithms no longer succeed in their task. This computer experiment in pattern theory is one of several. The others, LEAVES, X-RAYS, and RANGE are described elsewhere. This book is suitable for an advanced undergraduate or graduate seminar in pattern theory, or as an accompanying book for applied probability, computer vision, or pattern recognition.