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

EBSCOhost Academic eBook Collection (North America) Available online

EBSCOhost Academic eBook Collection (North America)
Format:
Book
Contributor:
Sankowski, Dominik, editor.
Nowakowski, Jacek, editor.
Series:
Series in computer vision ; Volume 3.
Series in Computer Vision, 2010-2143 ; Volume 3
Language:
English
Subjects (All):
Robot vision.
Robots, Industrial.
Physical Description:
1 online resource (578 p.)
Place of Publication:
Singapore : World Scientific Publishing Co. Pte. Ltd., 2014.
Language Note:
English
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
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
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on print version record.
ISBN:
981-4583-72-3

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