Image Processing of Edge and Surface Defects

Theoretical Basis of Adaptive Algorithms with Numerous Practical Applications

By: Roman Louban

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Paperback | 4 May 2012 | Edition Number 4

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182 Pages

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23.39 x 15.6 x 0.99

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The human ability to recognize objects on various backgrounds is amazing. Many times, industrial image processing tried to imitate this ability by its own techniques. This book discusses the recognition of defects on free-form edges and - homogeneous surfaces. My many years of experience has shown that such a task can be solved e?ciently only under particular conditions. Inevitably, the following questions must be answered: How did the defect come about? How and why is a person able to recognize a speci?c defect? In short, one needs an analysis of the process of defect creation as well as an analysis of its detection. As soon as the principle of these processes is understood, the processes can be described mathematically on the basis of an appropriate physical model and can then be captured in an algorithm for defect detection. This approach can be described as "image processing from a physicist's perspective". I have successfully used this approach in the development of several industrial image processingsystemsandimprovedupontheminthecourseoftime.Iwouldlike to present the achieved results in a hands-on book on the basis of edge-based algorithms for defect detection on edges and surfaces. I would like to thank all who have supported me in writing this book.

Industry Reviews

Aus den Rezensionen: "... Die HeIligkeitsverhaeltnisse an der Kante einer Materialbeschaedigung werden als Gauss'sche Verteilung einer Strahlung interpretiert und in einem physikalischen Modell erfasst. Basierend auf diesem Modell wurden neue Methoden entwickelt, mit denen unterschiedliche Fehlertypen unabhaengig von den Helligkeitsbedingungen eines aufgenommenen Bildes ermittelt werden koennen. ... Zahlreiche Anwendungsbeispiele veranschaulichen die theoretischen Ausfuehrungen." (in: QZ Qualitaet und Zuverlaessigkeit, March/2010, Issue 3, S. 13)

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