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Image acquisition and preprocessing ...
~
Sinha, P. K. (1947-)
Image acquisition and preprocessing for machine vision systems
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Image acquisition and preprocessing for machine vision systems/ Pradip K. Sinha.
作者:
Sinha, P. K.
出版者:
Bellingham, Wash. (1000 20th St. Bellingham WA 98225-6705 USA) :SPIE, : 2012.,
面頁冊數:
1 online resource (716 p.) :ill., digital file. :
附註:
"SPIE Digital Library."--Website.
標題:
Computer vision. -
電子資源:
http://dx.doi.org/10.1117/3.858360
ISBN:
9780819482037 (electronic)
Image acquisition and preprocessing for machine vision systems
Sinha, P. K.1947-
Image acquisition and preprocessing for machine vision systems
[electronic resource] /Pradip K. Sinha. - Bellingham, Wash. (1000 20th St. Bellingham WA 98225-6705 USA) :SPIE,2012. - 1 online resource (716 p.) :ill., digital file. - Press monograph ;197. - SPIE Press monograph ;PM103..
"SPIE Digital Library."--Website.
Includes bibliographical references.
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 -- Appendix A. Fourier transformation -- Appendix B. Sampling -- Appendix C. Discrete Fourier transform -- Appendix D. Time-frequency mapping.
Restricted to subscribers or individual electronic text purchasers.
Image Acquisition and Pre-Processing for Machine Vision Systems provides a unique combination of the operational details of imaging hardware and analytical theories of low-level image processing functions. By a skilful 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.
Mode of access: World Wide Web.
ISBN: 9780819482037 (electronic)
Standard No.: 10.1117/3.858360doiSubjects--Topical Terms:
561800
Computer vision.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: TA1634 / .S56 2012
Dewey Class. No.: 006.3/7
Image acquisition and preprocessing for machine vision systems
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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 -- Appendix A. Fourier transformation -- Appendix B. Sampling -- Appendix C. Discrete Fourier transform -- Appendix D. Time-frequency mapping.
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Image Acquisition and Pre-Processing for Machine Vision Systems provides a unique combination of the operational details of imaging hardware and analytical theories of low-level image processing functions. By a skilful 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.
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Mode of access: World Wide Web.
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http://dx.doi.org/10.1117/3.858360
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