Articles liés à An Image Processing Tour of College Mathematics

An Image Processing Tour of College Mathematics - Couverture rigide

Galperin, Yevgeniy V.

 
9780367002022: An Image Processing Tour of College Mathematics
Couverture rigide
ISBN 10 : 0367002027 ISBN 13 : 9780367002022
Editeur : Chapman and Hall/CRC, 2020

Synopsis

An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of the college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase student awareness of recent developments in mathematical sciences, and to help students prepare for graduate studies.

The topics covered include a library of elementary functions, basic concepts of descriptive statistics, probability distributions of functions of random variables, definitions and concepts behind first- and second-order derivatives, most concepts and techniques of traditional linear algebra courses, an introduction to Fourier analysis, and a variety of discrete wavelet transforms – all of that in the context of digital image processing.

Features

  • Pre-calculus material and basic concepts of descriptive statistics are reviewed in the context of image processing in the spatial domain.

  • Key concepts of linear algebra are reviewed both in the context of fundamental operations with digital images and in the more advanced context of discrete wavelet transforms.

  • Some of the key concepts of probability theory are reviewed in the context of image equalization and histogram matching.

  • The convolution operation is introduced painlessly and naturally in the context of naïve filtering for denoising and is subsequently used for edge detection and image restoration.

  • An accessible elementary introduction to Fourier analysis is provided in the context of image restoration.

  • Discrete wavelet transforms are introduced in the context of image compression, and the readers become more aware of some of the recent developments in applied mathematics.

    • This text helps students of mathematics ease their way into mastering the basics of scientific computer programming. 

    • Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    Yevgeniy V. Galperin is Associate Professor of Mathematics at East Stroudsburg University of Pennsylvania. He holds a PhD in mathematics and has published several papers in the field of time-frequency analysis and related areas of Fourier analysis. His research and academic interests also include numerical methods, simulation of stochastic processes for real-life applications, and mathematical pedagogy. He has given numerous conference presentations on instructional and course-design approaches directed at increasing student motivation and awareness of societal value of mathematics and on incorporating signal and image processing into the undergraduate mathematics curriculum.

    À propos de la quatrième de couverture

    This book aims to provide meaningful context for reviewing key topics of college mathematics curriculum. The topics covered include a library of elementary functions, basic concepts of descriptive statistics - all in the context of digital image processing.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Chapman and Hall/CRC
    Date d'édition
    2020
    Langue
    anglais
    ISBN 10 
    0367002027
    ISBN 13 
    9780367002022
    Reliure
    Relié
    Nombre de pages
    336
    Coordonnées du fabricant
    non disponible
    Personne responsable
    gpsr@libri.de
    gpsr@libri.de

    Europaallee 1
    Bad Hersfeld
    36244
    Allemagne