Machine Vision : Automated Visual Inspec
β JΓΌrgen Beyerer, Fernando Puente LeΓ³n, Christian Frese
π Library
π
2016
π Springer
π English
β¦ LIBER β¦
π
Machine Vision: Automated Visual Inspection: Theory, Practice and Applications
β Scribed by JΓΌrgen Beyerer, Fernando Puente LeΓ³n, Christian Frese
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2015
- Tongue
- English
- Leaves
- 802
- Edition
- 1st
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages I-XX
Introduction....Pages 1-17
Front Matter....Pages 19-19
Light....Pages 21-96
Optical Imaging....Pages 97-141
Radiometry....Pages 143-161
Color....Pages 163-202
Sensors for Image Acquisition....Pages 203-221
Methods of Image Acquisition....Pages 223-365
Front Matter....Pages 367-367
Image Signals....Pages 369-464
Preprocessing and Image Enhancement....Pages 465-519
Image Restoration....Pages 521-551
Segmentation....Pages 553-605
Morphological Image Processing....Pages 607-647
Texture Analysis....Pages 649-683
Detection....Pages 685-720
Image Pyramids, the Wavelet Transfm and Multiresolution Analysis....Pages 721-750
Front Matter....Pages 751-751
A Mathematical Foundations....Pages 753-767
Back Matter....Pages 769-798
β¦ Subjects
Signal, Image and Speech Processing; Image Processing and Computer Vision; Robotics and Automation; Measurement Science and Instrumentation
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