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Fb2 Logic-based Nonlinear Image Processing (SPIE Tutorial Texts in Optical Engineering, Vol. TT72) ePub

by Stephen Marshall

Category: Engineering
Subcategory: Engineering and Transport
Author: Stephen Marshall
ISBN: 0819463434
ISBN13: 978-0819463432
Language: English
Publisher: SPIE Publications; illustrated edition edition (December 4, 2006)
Pages: 162
Fb2 eBook: 1998 kb
ePub eBook: 1155 kb
Digital formats: lit mobi doc mbr

Edward R. Dougherty; Roberto A. Lotufo Hands-on Morphological Image Processing (SPIE Tutorial Texts in Optical Engineering Vol. TT59). ISBN 13: 9780819447203. Hands-on Morphological Image Processing (SPIE Tutorial Texts in Optical Engineering Vol. Edward R. Lotufo.

Logic-based Nonlinear Image Processing by Stephen Marshall. TT72 Author: Stephen Marshall. This text provides insight into the design of optimal image processing operators for implementation directly into digital hardware

Logic-based Nonlinear Image Processing by Stephen Marshall. Paperback 9780819463432). 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. more neers and computer scientists, but will also be of interest to anyone working with digital images. Contents - Acknowledgments.

TT73, Logic-based Nonlinear Image Processing, Stephen Marshall, Vo. Tutorial Texts in Optical Engineering Volume TT82. The publishing time for the books is kept to a minimum so that the books will be as timely and up-to-date as possible.

Tutorial Texts in Optical Engineering Volume TT82.

Logic-based Nonlinear Image Processing . Author(s): Stephen Marshall. The text is aimed principally at electronics engineers and computer scientists, but will also be of interest to anyone working with digital images.

The Basics of Spectroscopy (SPIE Tutorial Texts in Optical Engineering Vol. TT49) (David W. Ball). 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63.

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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.

Series: SPIE Tutorial Texts in Optical Engineering, Vol. TT72.

This text provides insight into the design of optimal image processing operators for implementation directly into digital hardware. Series: SPIE Tutorial Texts in Optical Engineering, Vol.

Optical Design: Applying the Fundamentals (SPIE Tutorial Text Vol. TT84) (SPIE Tutorial Texts). The process by which an image is formed, processed, and displayed can be conceptualized as a chain. 75 MB·154 Downloads·New! Optical Design: Applying the Fundamentals is written for engineers and scientists who have some. Load more similar PDF files. PDF Drive investigated dozens of problems and listed the biggest global issues facing the world today.

TT73 Logic-based Nonlinear Image Processing, Stephen Marshall, Vol. TT72 The Physics and Engineering . Since its inception in 1989, the Tutorial Texts (TT) series has grown to more than 80 titles covering many diverse fields of science and engineering.

Since its inception in 1989, the Tutorial Texts (TT) series has grown to more than 80 titles covering many diverse fields of science and engineering.

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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