Description
Springer Industrial Image Processing Visual Quality Control in Manufacturing by Christian Demant, Bernd Streicher-Abel, Carsten Garnica
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 (R) 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._x000D_ Table of contents : - _x000D_
Introduction.- Overview: Image Preprocessing.- Positioning.- Overview: Segmentation.- Mark Identification.- Overview: Classification.- Dimensional Checking.- Overview: Image Acquisition and Illumination.- Presence Verification.- Overview: Object Features.- Outlook: Visual Inspection Projects.- A: Mathematical Notes.- B: The Companion CD.- References.- Index._x000D_