Qiu | Image Processing and Jump Regression Analysis | E-Book | sack.de
E-Book

E-Book, Englisch, 344 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Qiu Image Processing and Jump Regression Analysis


1. Auflage 2005
ISBN: 978-0-471-73316-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 344 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

ISBN: 978-0-471-73316-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



The first text to bridge the gap between image processing andjump regression analysis
Recent statistical tools developed to estimate jump curves andsurfaces have broad applications, specifically in the area of imageprocessing. Often, significant differences in technicalterminologies make communication between the disciplines of imageprocessing and jump regression analysis difficult. Ineasy-to-understand language, Image Processing and JumpRegression Analysis builds a bridge between the worlds ofcomputer graphics and statistics by addressing both the connectionsand the differences between these two disciplines. The authorprovides a systematic analysis of the methodology behindnonparametric jump regression analysis by outlining procedures thatare easy to use, simple to compute, and have proven statisticaltheory behind them.
Key topics include:
* Conventional smoothing procedures
* Estimation of jump regression curves
* Estimation of jump location curves of regression surfaces
* Jump-preserving surface reconstruction based on localsmoothing
* Edge detection in image processing
* Edge-preserving image restoration
With mathematical proofs kept to a minimum, this book isuniquely accessible to a broad readership. It may be used as aprimary text in nonparametric regression analysis and imageprocessing as well as a reference guide for academicians andindustry professionals focused on image processing or curve/surfaceestimation.

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Autoren/Hrsg.


Weitere Infos & Material


Preface.
1. Introduction.
2. Basic Statistical Concepts and Conventional SmoothingTechniques.
3. Estimation of Jump Regression Curves.
4. Estimation of Jump Location Curves of RegressionSurfaces.
5. Jump Preserving Surface Estimation By Local Smoothing.
6. Edge Detection In Image Processing.
7. Edge-Preserving Image Restoration.
References.
Index.


PEIHUA QIU, PHD, is Associate Professor of Statistics at the University of Minnesota. He has published over twenty-five papers in refereed journals as well as two book chapters. He received his PhD in Statistics at the University of Wisconsin-Madison in 1996.



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