Introduction to Video and Image Processing: Building Real Systems and Applications

by Thomas B. Moeslund

Overview

This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YC_bC_r color representations.

Product Details

ISBN-13:	9781447125020
Publisher:	Springer London
Publication date:	01/25/2012
Series:	Undergraduate Topics in Computer Science
Edition description:	2012
Pages:	227
Product dimensions:	6.00(w) x 9.50(h) x 0.80(d)

About the Author

Dr. Thomas B. Moeslund is an Associate Professor and Head of the Visual Analysis of People Lab at Aalborg University, Denmark, with more than 10 years of experience of teaching image and video processing. He is also co-editor of the Springer title Visual Analysis of Humans: Looking at People.

Table of Contents

Introduction.- Image Acquisition.- Color Images.- Point Processing.- Neighborhood Processing.- Morphology.- BLOB Analysis.- Segmentation in Video Data.- Tracking.- Geometric Transformations.- Visual Effects.- Application Example: Edutainment Game.- Application Example: Coin Sorting using a Robot.- Bits, Bytes and Binary Numbers.- Mathematical Definitions.- Learning Parameters in Video and Image Processing Systems.- Conversion Between RGB and HSI.- Conversion Between RGB and HSV.- Conversion Between RGB and YUV/YC_bC_r.