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Can I read Principles of Digital Image Processing: Fundamental Techniques (Undergraduate Topics in Computer Science) on EtoBox?

Principles of Digital Image Processing: Fundamental Techniques (Undergraduate Topics in Computer Science) by Wilhelm Burger, Mark James Burge (auth.) is a nonfiction available to read on EtoBox.

What is Principles of Digital Image Processing: Fundamental Techniques (Undergraduate Topics in Computer Science) about?

This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. The text compiles the key elements of digital image processing, starting from the basic concepts and elementary properties of digital images through simple statistics and point operations, fundamental filtering techniques, localization of edges and contours, and basic operations on color images. Mastering these most commonly used techniques will enable the reader to start being productive straight away. Features and topics: * Practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of experience teaching this material * Real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners * Easily adaptable Java code and completely worked-out examples for easy inclusion in existing (and rapid prototyping of new) applications * Uses ImageJ, the image processing system developed, maintain

Who reads Principles of Digital Image Processing: Fundamental Techniques (Undergraduate Topics in Computer Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Wilhelm Burger, Mark James Burge (auth.)
Publisher
Springer London Ltd
Published
2009
Language
EN
ISBN
9781848001909
Category
nonfiction
Subjects
Technology, Computer Science, Mathematics

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