Research Catalog

Title

Computer vision, models, and inspection / A.D. Marshall and R.R. Martin.

Author

Marshall, A. D. (A. Dave)

Publication

Singapore ; River Edge, NJ : World Scientific, 1992.

Items in the Library & Off-site

Details

Additional Authors

Martin, R. R. (Ralph R.)

Description

xviii, 437 pages : illustrations; 23 cm.

Summary

The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches to probems and then set forth their proposed approach to matching and inspection. They deal primarily with 3-D vision but also discuss 2-D vision strategies when relevant. The book is suitable for researchers, final year undergraduates and graduate students. Useful review questions at the end of each chapter allow this book to be used for self-study.

Series Statement

World Scientific series in robotics and automated systems ; vol. 4

Uniform Title

World Scientific series in robotics and automated systems ; vol. 4.

Subject

• Quality control > Optical methods > Automation
• Computer vision > Industrial applications
• Engineering inspection > Automation
• Three-dimensional display systems
• three-dimensional
• Maschinelles Sehen
• Prozessüberwachung
• Vision par ordinateur
• Vision artificielle (robotique)

Bibliography (note)

• Includes bibliographical references and index.

Contents

• Preface; Contents; Part I Fundamentals of Computer Vision; Chapter 1 Introduction; 1.1 Introduction; 1.2 Computer Vision; 1.3 Related Topics; 1.4 Industrial Inspection; 1.5 Layout of this Book; 1.6 Scope of this Book; 1.7 Our Visual Inspection System; 1.7.1 Inspection Aims and Limitations; 1.7.2 System Components; Chapter 2 Image Acquisition; 2.1 Introduction; 2.2 Image Input Devices; 2.3 Camera Geometry; 2.3.1 A Camera Model; 2.3.2 Camera Calibration; 2.3.3 Analysis of the Calibration; 2.4 Three-Dimensional Imaging; 2.4.1 Depth Maps; 2.4.2 Introduction to Stereo Imaging.
• 2.4.3 Methods of Acquisition2.5 Our Vision Acquisition System; 2.5.1 Description; 2.5.2 Errors in Our Vision Acquisition System; 2.5.3 Performance of Our Vision System; 2.6 Simulating Depth Data; 2.7 Exercises; Chapter 3 Image Preprocessing; 3.1 Introduction; 3.2 Fourier Methods; 3.2.1 Introduction; 3.2.2 Theory; 3.2.3 Convolutions; 3.2.4 The Dirac Delta Function; 3.2.5 Other Properties of Fourier Transforms; 3.3 Smoothing Noise; 3.3.1 Introduction; 3.3.2 Real Space Smoothing Methods; 3.3.3 Fourier Space Smoothing Methods; 3.4 Contrast Enhancement; 3.4.1 Introduction.
• 3.4.2 Histogram Equalisation3.5 Correction of Camera Errors; 3.5.1 Introduction; 3.5.2 Geometric Correction; 3.5.3 Correcting Blurred Images; 3.6 Image Compression; 3.6.1 Introduction; 3.6.2 Real Space Compression; 3.6.3 Transform Encoding; 3.6.4 Colour Space Compression; 3.7 Exercises; Chapter 4 Segmentation and Feature Representation; 4.1 Introduction; 4.2 Segmentation Goals; 4.3 Extracting and Describing Features in an Image; 4.4 Point Extraction; 4.4.1 Oriented Surface Points; 4.4.2 Problems with Points as Primitives; 4.5 Edge Extraction; 4.5.1 Representing Lines.
• 4.5.2 Extracting Edges from Images4.5.3 Detecting Edge Points; 4.5.4 Edge Linking; 4.5.5 Problems with Edges as Primitives; 4.6 Surface Extraction; 4.6.1 Representing Surfaces; 4.6.2 Extracting Surfaces from Images; 4.6.3 Region Splitting; 4.6.4 Region Growing; 4.6.5 Similarity Constraints; 4.6.6 A Method for Segmenting Planes; 4.6.7 Segmenting Higher Order Surfaces; 4.6.8 Problems with Surface Segmentation; 4.7 Statistical Region Description; 4.7.1 Statistical Descriptions; 4.7.2 Invariant Measures; 4.8 Exercises; Chapter 5 Reasoning With Images; 5.1 Introduction; 5.2 Line Labelling.
• 5.2.1 Introduction5.2.2 Assumptions; 5.2.3 Junction Types; 5.2.4 Labelling an Image; 5.3 Relaxation Labelling; 5.3.1 Introduction; 5.3.2 Statistical Relaxation Techniques; 5.4 Shape from Shading; 5.4.1 Introduction; 5.4.2 Radiance and Irradianc; 5.4.3 Bidirectional Reflectance Distribution Function; 5.4.4 Radiance of a Surface; 5.4.5 Surface Orientation; 5.4.6 Reflectance Map; 5.4.7 Photometric Stereo; 5.5 Object Recognition; 5.5.1 Introduction; 5.5.2 Extended Gaussian Images; 5.6 Optical Flow; 5.6.1 Introduction; 5.6.2 Optical Flow Constraint Equation; 5.6.3 Further Constraints.

ISBN

• 9810207727
• 9789810207724

LCCN

91047664

OCLC

• ocm25131123
• 25131123
• SCSB-9304864

Owning Institutions

Princeton University Library