The Resource Computer vision in robotics and industrial applications, Dominik Sankowski, Jacek Nowakowski, editors

Computer vision in robotics and industrial applications, Dominik Sankowski, Jacek Nowakowski, editors

Label
Computer vision in robotics and industrial applications
Title
Computer vision in robotics and industrial applications
Statement of responsibility
Dominik Sankowski, Jacek Nowakowski, editors
Contributor
Editor
Subject
Genre
Language
  • eng
  • eng
Summary
The book presents a collection of practical applications of image processing and analysis. Different vision systems are more often used among others in the automotive industry, pharmacy, military and police equipment, automated production and measurement systems. In each of these fields of technology, digital image processing and analysis module is a critical part of the process of building this type of system. The majority of books in the market deal with theoretical issues. However, this unique publication specially highlights industrial applications, especially industrial measurement applic
Member of
Cataloging source
MiAaPQ
Dewey number
629.892637
Illustrations
illustrations
Index
index present
Language note
English
LC call number
TJ211.3
LC item number
.C67 2014
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Sankowski, Dominik
  • Nowakowski, Jacek
Series statement
Series in Computer Vision,
Series volume
Volume 3
http://library.link/vocab/subjectName
  • Robot vision
  • Robots, Industrial
Label
Computer vision in robotics and industrial applications, Dominik Sankowski, Jacek Nowakowski, editors
Instantiates
Publication
Copyright
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Color
multicolored
Content category
text
Content type code
  • txt
Contents
  • Preface; CONTENTS; Part 1 Theoretical Introduction to Image Reconstruction and Processing; Chapter 1 Data Set Preparation for k-NN Classifier Using the Measure of Representativeness; 1.1 Introduction; 1.2 Well-known reduction techniques; 1.3 Well-known editing techniques; 1.4 Methods proposed; 1.4.1 The measure of representativeness; 1.4.2 The reduction method proposed; 1.4.3 The proposed editing method; 1.5 Test results; 1.5.1 Test results of reduction methods; 1.5.2 Test results of editing methods; 1.6 Discussion; 1.6.1 Discussion of reduction methods test results
  • 1.6.2 Discussion of editing method test results1.6.3 Choice of the best RAR; 1.7 Conclusions; References; Chapter 2 Segmentation Methods in the Selected Industrial Computer Vision Application; 2.1 Introduction; 2.2 Preliminaries of Image Segmentation; 2.3 Taxonomy of Approaches to Image Segmentation; 2.3.1 Pixel based methods; 2.3.2 Edge based methods; 2.3.3 Region based methods; 2.3.4 Model based methods; 2.3.5 Graph based methods; 2.4 Image Segmentation in Thermo-Wet System; 2.4.1 The measurement process; 2.4.2 Problem definition; 2.4.3 Selection of image segmentation strategy
  • 2.5 ConclusionsReferences; Chapter 3 Line Fractional-order Difference/sum, its Properties and an Application in Image Processing; 3.1 Introduction; 3.1.1 Notation; 3.2 Fractional-order backward difference/sum; 3.3 Fractional-order line backward difference/sum; 3.3.1 Scalar fields and a two-dimesnional curve; 3.3.2 Fractional-order line backward difference/sum definition; 3.3.3 Fractional-order line backward difference/sum properties; 3.4 Fractional-order line backward difference/sum of elementary functions; 3.4.1 FOLBD/S of the discrete Dirac Pulse
  • 3.4.2 The FOLBD/S of the discrete unit step function3.4.3 The FOLBD/S of the discrete linear function; 3.5 Fractional-order line backward difference/sum edge detector; 3.6 Conclusions; References; Part 2 Computer Vision in Robotics; Chapter 4 Management Software for Distributed Mobile Robot System; 4.1 Architecture of mobile robot management system; 4.1.1 Implemented modules; 4.1.2 Driving module; 4.1.3 Sensor module; 4.1.4 Vision module; 4.1.5 Operator console; 4.1.6 Path finding and obstacle avoidance module; 4.1.7 Internal communication
  • 4.2 Human-Robot Interface for six wheeled mobile robot4.2.1 Human - Robot Interaction; 4.2.2 Operator Console Unit (OCU); 4.2.3 Realized control system of mobile platform for OCU; 4.2.4 Functional elements of mobile robot management system; 4.3 Laser scanner based obstacle avoidance system; 4.3.1 Environment map; 4.3.2 Pathfinding algorithm; 4.4 Automatic control systems of mobile robot drives; 4.4.1 Centralized subsystem for drives management and control; 4.4.2 Dedicated module for single engine management; References
  • Chapter 5 Advanced Vision Systems in Detection and Analysis of Characteristic Features of Objects
Dimensions
unknown
Extent
1 online resource (578 p.)
Form of item
online
Isbn
9789814583725
Media category
computer
Media type code
  • c
Specific material designation
remote
System control number
  • (CKB)3710000000214658
  • (EBL)1766812
  • (SSID)ssj0001287739
  • (PQKBManifestationID)12524900
  • (PQKBTitleCode)TC0001287739
  • (PQKBWorkID)11292738
  • (PQKB)10009029
  • (MiAaPQ)EBC1766812
  • (WSP)00009090
  • (EXLCZ)993710000000214658
Label
Computer vision in robotics and industrial applications, Dominik Sankowski, Jacek Nowakowski, editors
Publication
Copyright
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Color
multicolored
Content category
text
Content type code
  • txt
Contents
  • Preface; CONTENTS; Part 1 Theoretical Introduction to Image Reconstruction and Processing; Chapter 1 Data Set Preparation for k-NN Classifier Using the Measure of Representativeness; 1.1 Introduction; 1.2 Well-known reduction techniques; 1.3 Well-known editing techniques; 1.4 Methods proposed; 1.4.1 The measure of representativeness; 1.4.2 The reduction method proposed; 1.4.3 The proposed editing method; 1.5 Test results; 1.5.1 Test results of reduction methods; 1.5.2 Test results of editing methods; 1.6 Discussion; 1.6.1 Discussion of reduction methods test results
  • 1.6.2 Discussion of editing method test results1.6.3 Choice of the best RAR; 1.7 Conclusions; References; Chapter 2 Segmentation Methods in the Selected Industrial Computer Vision Application; 2.1 Introduction; 2.2 Preliminaries of Image Segmentation; 2.3 Taxonomy of Approaches to Image Segmentation; 2.3.1 Pixel based methods; 2.3.2 Edge based methods; 2.3.3 Region based methods; 2.3.4 Model based methods; 2.3.5 Graph based methods; 2.4 Image Segmentation in Thermo-Wet System; 2.4.1 The measurement process; 2.4.2 Problem definition; 2.4.3 Selection of image segmentation strategy
  • 2.5 ConclusionsReferences; Chapter 3 Line Fractional-order Difference/sum, its Properties and an Application in Image Processing; 3.1 Introduction; 3.1.1 Notation; 3.2 Fractional-order backward difference/sum; 3.3 Fractional-order line backward difference/sum; 3.3.1 Scalar fields and a two-dimesnional curve; 3.3.2 Fractional-order line backward difference/sum definition; 3.3.3 Fractional-order line backward difference/sum properties; 3.4 Fractional-order line backward difference/sum of elementary functions; 3.4.1 FOLBD/S of the discrete Dirac Pulse
  • 3.4.2 The FOLBD/S of the discrete unit step function3.4.3 The FOLBD/S of the discrete linear function; 3.5 Fractional-order line backward difference/sum edge detector; 3.6 Conclusions; References; Part 2 Computer Vision in Robotics; Chapter 4 Management Software for Distributed Mobile Robot System; 4.1 Architecture of mobile robot management system; 4.1.1 Implemented modules; 4.1.2 Driving module; 4.1.3 Sensor module; 4.1.4 Vision module; 4.1.5 Operator console; 4.1.6 Path finding and obstacle avoidance module; 4.1.7 Internal communication
  • 4.2 Human-Robot Interface for six wheeled mobile robot4.2.1 Human - Robot Interaction; 4.2.2 Operator Console Unit (OCU); 4.2.3 Realized control system of mobile platform for OCU; 4.2.4 Functional elements of mobile robot management system; 4.3 Laser scanner based obstacle avoidance system; 4.3.1 Environment map; 4.3.2 Pathfinding algorithm; 4.4 Automatic control systems of mobile robot drives; 4.4.1 Centralized subsystem for drives management and control; 4.4.2 Dedicated module for single engine management; References
  • Chapter 5 Advanced Vision Systems in Detection and Analysis of Characteristic Features of Objects
Dimensions
unknown
Extent
1 online resource (578 p.)
Form of item
online
Isbn
9789814583725
Media category
computer
Media type code
  • c
Specific material designation
remote
System control number
  • (CKB)3710000000214658
  • (EBL)1766812
  • (SSID)ssj0001287739
  • (PQKBManifestationID)12524900
  • (PQKBTitleCode)TC0001287739
  • (PQKBWorkID)11292738
  • (PQKB)10009029
  • (MiAaPQ)EBC1766812
  • (WSP)00009090
  • (EXLCZ)993710000000214658

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