- 564 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Application of Optical Fourier Transforms
About this book
Applications of Optical Fourier Transforms is a 12-chapter text that discusses the significant achievements in Fourier optics. The opening chapters discuss the Fourier transform property of a lens, the theory and applications of complex spatial filters, and their application to signal detection, character recognition, water pollution monitoring, and other pattern recognition problems. These topics are followed by a computation of the statistical characteristics of the Fourier irradiance patterns and the hybrid systems that combine the best of optics, analog electronics, and digital computers to solve problems. The subsequent chapters examine the pulse-Doppler and chirp signals, the significance of signal-to-noise power spectrum in the information content measurement of photographic film and in image quality determinations. This text also considers the application of nonlinear systems and their components to Fourier optics. The discussions then shift to the application of Fourier methods to the study of spatial information transmission through the human visual system, as well as the application of coherent techniques to vision research. The concluding chapters deal with the well-known pattern recognition problems related to the digital signal processing community. These chapters also look into a general theoretical model of light field propagation from input to output. This book will be of value to optical scientists and vision researchers.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Application of Optical Fourier Transforms by Henry Stark in PDF and/or ePUB format, as well as other popular books in Ciencias físicas & Óptica y luz. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Applications of Optical Fourier Transforms
- Copyright Page
- Table of Contents
- Dadication
- List of Contributors
- Preface
- Acknowledgments
- Chapter 1. Theory and Measurement of the Optical Fourier Transform
- Chapter 2. Pattern Recognition via Complex Spatial Filtering
- Chapter 3. Particle Identification and Counting by Fourier-Optical Pattern Recognition
- Chapter 4. Signal Processing Using Hybrid Systems
- Chapter 5. Fourier Optics and Radar Signal Processing
- Chapter 6. Application of Optical Power Spectra to Photographic Image Measurement
- Chapter 7. Fourier Optics and SAW Devices
- Chapter 8. Space-Variant Optical Systems and Processing
- Chapter 9. Fourier Optics in Nonlinear Signal Processing
- Chapter 10. Optical Information Processing and the Human Visual System
- Chapter 11. Statistical Pattern Recognition Using Optical Fourier Transform Features
- Chapter 12. Incoherent Optical Processing
- Index