1.

Record Nr.

UNINA9911007086103321

Autore

Sinha P. K (Pradip K.), <1947->

Titolo

Image acquisition and preprocessing for machine vision systems / / P.K. Sinha

Pubbl/distr/stampa

Bellingham, Wash., : SPIE Press, c2012

ISBN

1-5231-3203-5

1-68015-096-0

0-8194-8203-X

Descrizione fisica

1 online resource (750 p.)

Collana

Press monograph ; ; 197

Disciplina

006.3/7

Soggetti

Computer vision

Identification

Electronic data processing - Data preparation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.