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Mathematical Nonlinear Image Processing

A Special Issue of the Journal of Mathematical Imaging and Vision

  • Edward R. Dougherty
  • Jaakko Astola

Table of contents

  1. Front Matter
    Pages i-iii
  2. Edward R. Dougherty, Jaakko Astola
    Pages 1-1
  3. Lasse Koskinen, Jaakko Astola
    Pages 21-39
  4. Robert L. Stevenson, Susan M. Schweizer
    Pages 41-58
  5. Juliette Mattioli, Michel Schmitt
    Pages 121-136
  6. George K. Knopf, Madan M. Gupta
    Pages 137-154
  7. Kari Mantere, Jussi Parkkinen, Timo Jaaskelainen, Madan M. Gupta
    Pages 155-163
  8. Jouko Lampinen, Erkki Oja
    Pages 165-176

About this book

Introduction

Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear methods applied to problems in imaging and vision, and (2) the degree to which nonlinear approaches are both using and fostering new developments in diverse areas of mathematics. Mathematical Nonlinear Image Processing will be of interest to people working in the areas of applied mathematics as well as researchers in computer vision. Mathematical Nonlinear Image Processing is an edited volume of original research. It has also been published as a special issue of the Journal of Mathematical Imaging and Vision. (Volume 2, Issue 2/3).

Keywords

Erosion Signal calculus computer vision image processing imaging model

Editors and affiliations

  • Edward R. Dougherty
    • 1
  • Jaakko Astola
    • 2
  1. 1.Rochester Institute of TechnologyRochesterUSA
  2. 2.University of TampereTampereFinland

Bibliographic information

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