Keywords
Citation
Rigelsford, J. (2001), "Industrial Image Processing: Visual Quality Control in Manufacturing", Sensor Review, Vol. 21 No. 2. https://doi.org/10.1108/sr.2001.08721bae.002
Publisher
:Emerald Group Publishing Limited
Copyright © 2001, MCB UP Limited
Industrial Image Processing: Visual Quality Control in Manufacturing
Industrial Image Processing: Visual Quality Control in Manufacturing
C. Demant, B. Streicher-Abel and P. WaszkewitzSpringer1999353 pp.ISBN 3-540-66410-6£58.50 (Hard cover) with CD-ROM
Keywords: Image processing, Machine vision
Industrial Image Processing: Visual Quality Control in Manufacturing provides a practical approach to building integrated solutions to industrial machine vision problems. The book comprises 11 chapters which are either application-oriented or algorithm-oriented. The later are "overview" chapters and serve to explain in greater detail the algorithms presented in the application chapters.
The first chapter provides an introduction to the subject and to the format of the book. It is followed by an overview of image pre-processing and discusses grey scale transformations; image arithmetic; linear filters; and median, morphological and non-linear filters.
Chapter 3 addresses positioning and discusses the position and orientation of an individual object, and robot positioning. An "overview" of segmentation is given in chapter 4 and addresses regions of interest, thresholding, contour tracing, edge-based methods and template matching. Barcode identification, character recognition, print quality inspection and block codes on rolls of film are discussed in chapter 5, Mark Identification.
Chapters 6 and 7 provide an "overview" of classification and a discussion of dimensional checking, respectively. The following chapter provides an overview of Image Acquisition and Object Illumination. It discusses solid state sensors, video cameras, transmission to the computer and illumination technology. Chapter 9 addresses methods for presence verification.
Chapter 10 provides an "overview" of object features and discusses basic geometrical features, shape-descriptors and grey level features. The final chapter gives an outlook to visual inspection projects and provides some of the important aspects of implementing industrial image processing projects.
This well written book gives a hands-on guide for producing and installing automated inspection systems. It is suitable for students, researchers and industrial practitioners, as it gives examples applying algorithms to realistic industrial situations. The book is accompanied by a CD-ROM containing many examples, an industrial image processing package – NeuroCheck™, along with much more. Overall, this is a superb book which can be of great benefit to those who read it.