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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

7

Basic Reminders in Set Theory

This chapter aims to briefly summarize the basic notions of Set Theory that should be necessary for presenting the mathematical imaging frameworks for both gray-tone and binary images.

7.1. Mathematical disciplines

The mathematical discipline of reference is the theory of sets, or for short Set Theory [RUB 67, DEV 93, BOU 04c]. The notion of set is fundamental in modern Mathematics because most of the mathematical entities (numbers, relations, operations, functions, etc.) are defined in terms of sets.

7.2. Sets and elements

A set, denoted as images is a collection of well-defined and distinct elements, denoted images A subset of a set images is a subcollection of well-defined and distinct elements of images. A singleton is also a set with exactly one element. For example, the set images is a singleton related to the element images The empty set is denoted by Ø.

7.2.1. Membership

The first concept ...

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Publisher Resources

ISBN: 9781118649121Purchase book