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Video based Object Recognition for Conveyor Line Automation - Ahmet Emre Gokus
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Ahmet Emre Gokus:

Video based Object Recognition for Conveyor Line Automation - Taschenbuch

2011, ISBN: 3846592455

ID: 10409434687

[EAN: 9783846592458], Neubuch, [PU: LAP Lambert Academic Publishing Nov 2011], This item is printed on demand - Print on Demand Titel. Neuware - The aim of this book is to introduce a vision based object recognition system for automation of assembly line. The vision system is designed to recognize the objects, which are placed on the assembly line and also to identify the exact position for tracking each particular object, in order to lead the robot manipulator system for further processing. The method consists of an object shape discrimination analysis methodology using image processing techniques for the video frames acquired through the CCD camera over the conveyor line. The recognition of objects have been tested and evaluated using three different feature extraction methods on twenty objects for model conveyer line. These methods utilize geometric features, two dimensional moments and one dimensional scaled normalizing moments. The one dimensional scaled normalized moment method has been reported to be the best one for the object recognition. The neural network classifier is constructed for the features using the theoretical principles of artificial neural networks (ANN). Furthermore a step-by-step methodology for designing a neural network structure for the proposed system has been introduced. 68 pp. Englisch

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Video based Object Recognition for Conveyor Line Automation - Ahmet Emre Gokus
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

Ahmet Emre Gokus:

Video based Object Recognition for Conveyor Line Automation - Taschenbuch

2011, ISBN: 3846592455

ID: 10409434687

[EAN: 9783846592458], Neubuch, [PU: Lap Lambert Academic Publishing Nov 2011], This item is printed on demand - Print on Demand Titel. - The aim of this book is to introduce a vision based object recognition system for automation of assembly line. The vision system is designed to recognize the objects, which are placed on the assembly line and also to identify the exact position for tracking each particular object, in order to lead the robot manipulator system for further processing. The method consists of an object shape discrimination analysis methodology using image processing techniques for the video frames acquired through the CCD camera over the conveyor line. The recognition of objects have been tested and evaluated using three different feature extraction methods on twenty objects for model conveyer line. These methods utilize geometric features, two dimensional moments and one dimensional scaled normalizing moments. The one dimensional scaled normalized moment method has been reported to be the best one for the object recognition. The neural network classifier is constructed for the features using the theoretical principles of artificial neural networks (ANN). Furthermore a step-by-step methodology for designing a neural network structure for the proposed system has been introduced. 68 pp. Englisch

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Video based Object Recognition for Conveyor Line Automation - Ahmet Emre Gokus#Hasan Demirel
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Ahmet Emre Gokus#Hasan Demirel:
Video based Object Recognition for Conveyor Line Automation - neues Buch

ISBN: 9783846592458

ID: 2902b80b21b913e46f652d4aa1b0a737

Object Recognition The aim of this book is to introduce a vision based object recognition system for automation of assembly line. The vision system is designed to recognize the objects, which are placed on the assembly line and also to identify the exact position for tracking each particular object, in order to lead the robot manipulator system for further processing. The method consists of an object shape discrimination analysis methodology using image processing techniques for the video frames acquired through the CCD camera over the conveyor line. The recognition of objects have been tested and evaluated using three different feature extraction methods on twenty objects for model conveyer line. These methods utilize geometric features, two dimensional moments and one dimensional scaled normalizing moments. The one dimensional scaled normalized moment method has been reported to be the best one for the object recognition. The neural network classifier is constructed for the features using the theoretical principles of artificial neural networks (ANN). Furthermore a step-by-step methodology for designing a neural network structure for the proposed system has been introduced. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8465-9245-8, LAP Lambert Academic Publishing

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Video based Object Recognition for Conveyor Line Automation - Hasan Demirel#Ahmet Emre Gokus
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Hasan Demirel#Ahmet Emre Gokus:
Video based Object Recognition for Conveyor Line Automation - neues Buch

ISBN: 9783846592458

ID: 116241296

The aim of this book is to introduce a vision based object recognition system for automation of assembly line. The vision system is designed to recognize the objects, which are placed on the assembly line and also to identify the exact position for tracking each particular object, in order to lead the robot manipulator system for further processing. The method consists of an object shape discrimination analysis methodology using image processing techniques for the video frames acquired through the CCD camera over the conveyor line. The recognition of objects have been tested and evaluated using three different feature extraction methods on twenty objects for model conveyer line. These methods utilize geometric features, two dimensional moments and one dimensional scaled normalizing moments. The one dimensional scaled normalized moment method has been reported to be the best one for the object recognition. The neural network classifier is constructed for the features using the theoretical principles of artificial neural networks (ANN). Furthermore a step-by-step methodology for designing a neural network structure for the proposed system has been introduced. Object Recognition Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Video based Object Recognition for Conveyor Line Automation - Ahmet Emre Gokus#Hasan Demirel
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Ahmet Emre Gokus#Hasan Demirel:
Video based Object Recognition for Conveyor Line Automation - neues Buch

ISBN: 9783846592458

ID: 223462301

The aim of this book is to introduce a vision based object recognition system for automation of assembly line. The vision system is designed to recognize the objects, which are placed on the assembly line and also to identify the exact position for tracking each particular object, in order to lead the robot manipulator system for further processing. The method consists of an object shape discrimination analysis methodology using image processing techniques for the video frames acquired through the CCD camera over the conveyor line. The recognition of objects have been tested and evaluated using three different feature extraction methods on twenty objects for model conveyer line. These methods utilize geometric features, two dimensional moments and one dimensional scaled normalizing moments. The one dimensional scaled normalized moment method has been reported to be the best one for the object recognition. The neural network classifier is constructed for the features using the theoretical principles of artificial neural networks (ANN). Furthermore a step-by-step methodology for designing a neural network structure for the proposed system has been introduced. Object Recognition Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Details zum Buch
Video based Object Recognition for Conveyor Line Automation
Autor:

Gokus, Ahmet Emre / Demirel, Hasan

Titel:

Video based Object Recognition for Conveyor Line Automation

ISBN-Nummer:

3846592455

Detailangaben zum Buch - Video based Object Recognition for Conveyor Line Automation


EAN (ISBN-13): 9783846592458
ISBN (ISBN-10): 3846592455
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: Lap Lambert Academic Publishing Nov 2011

Buch in der Datenbank seit 06.02.2007 02:58:11
Buch zuletzt gefunden am 29.09.2016 09:14:06
ISBN/EAN: 3846592455

ISBN - alternative Schreibweisen:
3-8465-9245-5, 978-3-8465-9245-8

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