Image Processing and Jump Regression Analysis
Aus der Reihe
Wiley Series in Probability and Statistics
147,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
06.05.2005
Verlag
Jossey-BassSeitenzahl
344 (Printausgabe)
Dateigröße
18106 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780471733164
The first text to bridge the gap between image processing and
jump regression analysis
Recent statistical tools developed to estimate jump curves and
surfaces have broad applications, specifically in the area of image
processing. Often, significant differences in technical
terminologies make communication between the disciplines of image
processing and jump regression analysis difficult. In
easy-to-understand language, Image Processing and Jump
Regression Analysis builds a bridge between the worlds of
computer graphics and statistics by addressing both the connections
and the differences between these two disciplines. The author
provides a systematic analysis of the methodology behind
nonparametric jump regression analysis by outlining procedures that
are easy to use, simple to compute, and have proven statistical
theory 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 local
smoothing
* Edge detection in image processing
* Edge-preserving image restoration
With mathematical proofs kept to a minimum, this book is
uniquely accessible to a broad readership. It may be used as a
primary text in nonparametric regression analysis and image
processing as well as a reference guide for academicians and
industry professionals focused on image processing or curve/surface
estimation.
jump regression analysis
Recent statistical tools developed to estimate jump curves and
surfaces have broad applications, specifically in the area of image
processing. Often, significant differences in technical
terminologies make communication between the disciplines of image
processing and jump regression analysis difficult. In
easy-to-understand language, Image Processing and Jump
Regression Analysis builds a bridge between the worlds of
computer graphics and statistics by addressing both the connections
and the differences between these two disciplines. The author
provides a systematic analysis of the methodology behind
nonparametric jump regression analysis by outlining procedures that
are easy to use, simple to compute, and have proven statistical
theory 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 local
smoothing
* Edge detection in image processing
* Edge-preserving image restoration
With mathematical proofs kept to a minimum, this book is
uniquely accessible to a broad readership. It may be used as a
primary text in nonparametric regression analysis and image
processing as well as a reference guide for academicians and
industry professionals focused on image processing or curve/surface
estimation.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice