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Mathematical Foundations of Image Processing and Analysis, Volume 1
book

Mathematical Foundations of Image Processing and Analysis, Volume 1

by Jean-Charles Jean-Charles Pinoli Pinoli
June 2014
Intermediate to advanced
464 pages
11h 15m
English
Wiley-ISTE
Content preview from Mathematical Foundations of Image Processing and Analysis, Volume 1

11

The Algebraic and Order Functional Framework

The algebraic and order functional framework is the first to be taken into account when addressing mathematical imaging problems.

11.1. Paradigms

Within the algebraic and order functional framework, a gray-tone image is considered as a gray-tone function that will be treated as a partially ordered vector. Therefore, gray-tone images will be combined through their gray-tone functions, which will be submitted to the natural partial order relation. Roughly speaking, it will be allowed to manipulate and modify gray-tone images, as well as to combine and compare them.

11.2. Mathematical structures and notions for IPA

The mathematical disciplines of reference are the theory of sets, for short Set Theory [RUB 67, DEV 93, BOU 04c], and Algebra [LAN 04; 1st ed., 1971] [STR 05; 1st ed., 1976].

11.2.1. Gray-tone functions

A gray-tone function, denoted f, is a mapping defined on the spatial domain imagesn and valued in the tonal domain images, namely:

 

[11.1] images

 

where x denotes an arbitrary pixel in imagesn (see Chapter 9), and f(x) is a gray-tone value belonging to ...

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