Image acquisition and preprocessing for machine vision systems

✍ Scribed by Sinha, Pradip K

• Publisher: SPIE Press
• Year: 2012
• Tongue: English
• Leaves: 661
• Series: Press monograph 197
• Category: Library

✦ Synopsis

This book provides a combination of the operational details of imaging hardware and analytical theories of low-level image processing functions. By a blend of optics, stage lighting, and framegrabber descriptions, and detailed theories of CCD and CMOS image sensors, image formation, and camera calibration, the image acquisition part of the book provides a comprehensive reference text for image acquisition. The pre-processing part brings together a wide range of enhancement and filtering kernels and imaging functions through well-structured analytical bases. With unified coverage of image acquisition modules and pre-processing functions, this book bridges the gaps between hardware and software on one hand and theory and applications on the other. With its detailed coverage of imaging hardware and derivations of pre-processing kernels, it is a useful design reference for students, researchers, application and product engineers, and systems integrators.  Read more...

Abstract: This book provides a combination of the operational details of imaging hardware and analytical theories of low-level image processing functions. By a blend of optics, stage lighting, and framegrabber descriptions, and detailed theories of CCD and CMOS image sensors, image formation, and camera calibration, the image acquisition part of the book provides a comprehensive reference text for image acquisition. The pre-processing part brings together a wide range of enhancement and filtering kernels and imaging functions through well-structured analytical bases. With unified coverage of image acquisition modules and pre-processing functions, this book bridges the gaps between hardware and software on one hand and theory and applications on the other. With its detailed coverage of imaging hardware and derivations of pre-processing kernels, it is a useful design reference for students, researchers, application and product engineers, and systems integrators

✦ Table of Contents

Content: Preface --
Acknowledgments --
Acronyms and abbreviations --
Chapter 1. Introduction --
Chapter 2. Human vision --
Chapter 3. Image-forming optics --
Chapter 4. Scene illumination --
Chapter 5. Image sensors --
Chapter 6. Imaging hardware --
Chapter 7. Image formation --
Chapter 8. Camera calibration --
Chapter 9. Gray-level transformation --
Chapter 10. Spatial transformation --
Chapter 11. Spatial filtering --
Chapter 12. Discrete Fourier transform --
Chapter 13. Spatial frequency filters --
Chapter 14. Review of image parameters --
Appendices --
Index.

✦ Subjects

Computer vision.;Identification.;Electronic data processing -- Data preparation.