MachineVisionAlgorithmsandApplications

Table of Contents Cover Title Copyright List of Abbreviations Preface to the Second Edition Preface to the First Edition 1 Introduction 2 Image Acquisition 2.1 Illumination 2.2 Lenses 2.3 Cameras 2.4 Camera–Computer Interfaces 2.5 3D Image Acquisition Devices 3 Machine Vision Algorithms 3.1 Fundamental Data Structures 3.2 Image Enhancement 3.3 Geometric Transformations 3.4 Image Segmentation 3.5 Feature Extraction 3.6 Morphology 3.7 Edge Extraction 3.8 Segmentation and Fitting of Geometric Primitives 3.9 Camera Calibration 3.10 3D Reconstruction 3.11 Template Matching 3.12 3D Object Recognition 3.13 Hand–Eye Calibration Figure 2.25 Two images of a depth-of-field target taken with (a) F = 2 and (b) F = 16 with a lens with f′ = 12.5 mm. Note the small depth of field in (a) and the large depth of field in (b). Also note the perspective distortion in the images. Figure 2.26 Diffraction will cause a point to be imaged as an Airy disk. (a) 2D image of the Airy disk. To make the outer rings visible, an LUT with a gamma function with γ = 0.4 has been used. (b) 1D profile through the Airy disk. Figure 2.27 The principle o......