Logic-based Nonlinear Image Processing (SPIE Tutorial Texts in Optical Engineering, Vol. TT72) - Softcover
Synopsis
This text provides insight into the design of optimal image processing operators for implementation directly into digital hardware. Starting with simple restoration examples and using the minimum of statistics, the book provides a design strategy for a wide range of image processing applications. The text is aimed principally at electronics engineers and computer scientists, but will also be of interest to anyone working with digital images.
Contents
- Acknowledgments
- Introduction
- What Is a Logic-Based Filter?
- How Accurate Is the Logic-Based Filter?
- How Do You Train the Filter for a Task
- Increasing Filters and Mathematical Morphology
- The Median Filter and Its Variants
- Extension to Grayscale
- Grayscale Implementation
- Case Study: Noise Removal from Astronomical Images
- Conclusions
- Index
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LOGIC-BASED NONLINEAR IMAGE PROCESSING
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Society of Photo Optical, 2006
ISBN 10: 0819463434
ISBN 13: 9780819463432
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Condition: New. Marshall (electronic and electrical engineering, U. of Strathclyde) takes a fresh look at the design of optimal image processing operators for digital hardware, using as few statistics as possible and sticking to the practical with examples. He describes the characteristics of a logic-based filter and the reasons behind its use, the accuracy of log Series: Tutorial Texts. Num Pages: 162 pages, illustrations. BIC Classification: UYT. Category: (P) Professional & Vocational. . . 2006. illustrated edition. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780819463432
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Condition: New. Marshall (electronic and electrical engineering, U. of Strathclyde) takes a fresh look at the design of optimal image processing operators for digital hardware, using as few statistics as possible and sticking to the practical with examples. He describes the characteristics of a logic-based filter and the reasons behind its use, the accuracy of log Series: Tutorial Texts. Num Pages: 162 pages, illustrations. BIC Classification: UYT. Category: (P) Professional & Vocational. . . 2006. illustrated edition. paperback. . . . . Seller Inventory # V9780819463432
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