Keywords
Citation
(2000), "Surface Inspection Techniques Using the Integration of Innovative Vision and Graphical Modelling Techniques", Sensor Review, Vol. 20 No. 4. https://doi.org/10.1108/sr.2000.08720dae.003
Publisher
:Emerald Group Publishing Limited
Copyright © 2000, MCB UP Limited
Surface Inspection Techniques Using the Integration of Innovative Vision and Graphical Modelling Techniques
Surface Inspection Techniques – Using the Integration of Innovative Vision and Graphical Modelling Techniques
M.L. SmithProfessional Engineering PublishingAugust/September 2000No. of pages not yet confirmedISBN 1-86058-292-3Approximately £79 (Hardcover)
Keywords Surface measurement, Inspection, Vision
Surface Inspection Techniques is based on the author's PhD thesis. Aimed at providing practical surface inspection solutions, this book combines machine vision, computer graphics and three-dimensional modelling techniques.
The book is divided into 11 chapters which address a variety of methods that are suitable for a successful automated inspection system, and gives details of experimental work undertaken to validate novel analysis techniques.
The first chapter introduces the subject and discusses the nature of surface defects, a new approach to surface inspection, and the need for flexibility. Chapter 2, Automated Surface Inspection, addresses the application of machine vision to surface flaw detection and surface defects in the presence of a complex background.
Chapters 3 and 4 discuss An Alternative Surface Description, and Photoclinometry, respectively. The Reconstruction of Acquired Surface Detail and the generation of synthetic images are introduced in chapter 5. The following chapter gives details of experimental work undertaken to verify concepts developed in chapter 5.
Chapter 7, Analysis of Surface Defects, includes discussion on the main aspects for the classification of defects, shape as a hierarchical structure, the gradient space domain, and a generic surface inspection strategy. Pose independent determination, analysis of surface structural texture and the isolation of a "bump map" from surface geometry are among the experimental work addressed in chapter 8.
An example case study, Application in Industrial Machine Vision Surface Inspection, is given in chapter 9. Chapter 10 gives an overview of a generic inspection system, while the final chapter contains conclusion and possible areas for future work. For further information ten appendices are also included.
Overall, this is a well written, comprehensive text which clearly discusses existing and novel techniques for the automation of surface inspection. It is suitable for a wide range of readers, from undergraduate and postgraduate students, to practising engineers and scientists.
A note from the reviewer: at the time this review was written Surface Inspection Techniques had not been published and therefore the contents of the final version may vary from that listed above.
Jonathan Rigelsford