Industrial Image Processing: Visual Quality Control in Manufacturing

✍ Scribed by Christian Demant, Bernd Streicher-Abel, Carsten Garnica (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2013
• Tongue: English
• Leaves: 378
• Edition: 2
• Category: Library

✦ Synopsis

This practical introduction focuses on how to design integrated solutions for industrial vision tasks from individual algorithms. The book is now available in a revised second edition that takes into account the current technological developments, including camera technology and color imaging processing. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck® standard software that has proven industrial strength integrated in thousands of applications in real-world production lines. Based on many years of experience in industry, the authors explain all the essential details encountered in the creation of vision system installations. With example material and a demo version of the software found on "extras.springer.com" readers can work their way through the described inspection tasks and carry out their own experiments.

✦ Table of Contents

Front Matter....Pages i-xvii
Introduction....Pages 1-24
Overview: Image Preprocessing....Pages 25-63
Positioning....Pages 65-82
Overview: Segmentation....Pages 83-111
Mark Identification....Pages 113-150
Overview: Classification....Pages 151-172
Gauging....Pages 173-201
Overview: Image Acquisition and Illumination....Pages 203-264
Presence Verification....Pages 265-302
Overview: Object Features....Pages 303-318
Color Image Processing....Pages 319-338
Implementation of Industrial Image Processing Applications....Pages 339-345
Back Matter....Pages 347-369

✦ Subjects

Image Processing and Computer Vision; Control, Robotics, Mechatronics; Signal, Image and Speech Processing