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首页【2018新书】Advanced Topics on Computer Vision, Control and Robotics in Mechatronics
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OsslanOsirisVergaraVillegas
Manuel Nandayapa
IsraelSoto Editors
Advanced Topics
on Computer
Vision, Control
and Robotics in
Mechatronics

Advanced Topics on Computer Vision, Control
and Robotics in Mechatronics

Osslan Osiris Vergara Villegas
Manuel Nandayapa
•
Israel Soto
Editors
Advanced Topics
on Computer Vision, Control
and Robotics in Mechatronics
123

Editors
Osslan Osiris Vergara Villegas
Industrial and Manufacturing Engineering
Universidad Autónoma de Ciudad Juárez
Ciudad Juárez, Chihuahua
Mexico
Manuel Nandayapa
Industrial and Manufacturing Engineering
Universidad Autónoma de Ciudad Juárez
Ciudad Juárez, Chihuahua
Mexico
Israel Soto
Industrial and Manufacturing Engineering
Universidad Autónoma de Ciudad Juárez
Ciudad Juárez, Chihuahua
Mexico
ISBN 978-3-319-77769-6 ISBN 978-3-319-77770-2 (eBook)
https://doi.org/10.1007/978-3-319-77770-2
Library of Congress Control Number: 2018935206
© Springer International Publishing AG, part of Springer Nature 2018
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part
of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,
recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission
or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar
methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this
publication does not imply, even in the absence of a specific statement, that such names are exempt from
the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this
book are believed to be true and accurate at the date of publication. Neither the publisher nor the
authors or the editors give a warranty, express or implied, with respect to the material contained herein or
for any errors or omissions that may have been made. The publisher remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations.
Printed on acid-free paper
This Springer imprint is published by the registered company Springer International Publishing AG
part of Springer Nature
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface
The field of mechatronics, which is the synergistic combination of precision
mechanical engineering, electronic control and thinking systems in the design of
products and manufacturing processes, is gaining much attention in industries and
academics. Most complex innovations in several industries are possible due to the
existence of mechatronics systems.
From an exhaustive perusal and the experience gained from several years in the
field, we detected that several disciplines such electronics, mechanics, control and
computers are related to the design and building of mechatronic systems. However,
computer vision, control and robotics are currently essential to achieve a better
design and operation of intelligent mechatronic systems. Computer vision is the
field of artificial intelligence devoted to acquiring, processing, analyzing and
interpreting images from the real world with the goal of producing numerical
information that can be treated by a computer. On the other hand, Control is a
discipline that governs the physical laws of dynamic systems for variable regula-
tions. Finally, Robotics is an interdisciplinary branch of engineering that deals with
the design, construction, operation and application of robots.
This book is intended to present the recent advances in computer vision, control
and robotics for the creation of mechatronics systems. Therefore, the book content
is organized in three main parts: a) Computer Vision, b) Control, and c) Robotics,
each one containing a set of five chapters.
Part I Computer Vision
In this part, the book reports efforts in developing computer vision systems
implemented in different mechatronics industries including medical and automo-
tive, and reviews in the field of pattern recognition, super-resolution and artificial
neural networks.
Chapter 1 presents an implementation and comparison of five different denoising
methods to reduce multiplicative noise in ultrasound medical images. The methods
were implemented in the fixed-point DM6437 high-perfor mance digital media
processor (DSP).
v
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