The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong focus on applications. All examples are based on the latest version of the machine vision software HALCON 13.
Table of Contents
INTRODUCTIONIMAGE ACQUISITION
Illumination
Lenses
Cameras
Camera-Computer Interfaces
MACHINE VISION ALGORITHMS
Fundamental Data Structures
Image Enhancement
Geometric Transformations
Image Segmentation
Feature Extraction
Morphology
Edge Extraction
Segmentation and Fitting of Geometric Primitives
Camera Calibration
Stereo Reconstruction
Template Matching
Optical Character Recognition
MACHINE VISION APPLICATIONS
Wafer Dicing
Reading of Serial Numbers
Inspection of Saw Blades
Print Inspection
Inspection of Ball Grid Arrays
Surface Inspection
Measuring of Spark Plugs
Molding Flash Detection
Inspection of Punched Sheets
3D Plane Reconstruction with Stereo
Pose Verification and Resistors
Classification of Non-Woven Fabrics
