Machine vision : automated visual inspection : theory, practice and applications
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Bibliographic Information
Machine vision : automated visual inspection : theory, practice and applications
Springer, [2015], c2016
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Includes bibliographies and index
Description and Table of Contents
Description
The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure.
The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.
Table of Contents
Introduction.- Part I Image Acquisition: Light.- Optical Imaging.- Radiometry.- Color.- Sensors for Image Acquisition.- Methods for Image Acquisition.- Part II Image Processing: Image Signals.- Preprocessing and Image Enhancement.- Image Restoration.- Segmentation.- Morphological Image Processing.- Texture Analysis.- Detection.- Image Pyramids, Wavelet Transform and Multiresolution Analysis.- Mathematical Foundations.- The Fourier Transform.
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