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Synopsis
Aim of the book: To build an efficient automated recognition system for recognizing objects on a scene, so many problems must be solved and many assumptions must be made. These assumptions e.g. include the image has two grey levels (using a threshold filter for 256 grey levels), the object surfaces are smooth and there is no shadow. The problems to be solved are; size changing, translation, rotation, reflection and noise effects as well as the deformation of shape. Automation system was implemented by applying two approaches techniques; one is the application of the invariant moments. The other one is the invariant auto correlation. Although the invariant moment approach was used, it was sensitive to noise and useable with the video images. But the invariant auto correlation approach solved the sensitivity to noise.
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About the Author
Dr.Abadal-Salam T. HUSSAIN: PhD Degree in Mechatronics Eng. MSc Electronics Eng., B.Eng., G.C.E. Sci. & PhD in Busi. Admin. Currently he is affiliated with Higher National Diploma (BTEC-Edexcel, SIT, UK) & Dr. Syed F. AHMED: PhD degree in Electronic Engineering, Currently he is affiliated with AutoMAV Research Cluster, University Malaysia Perlis.
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Automated Intelligent System for Recognising Objects on Scene
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LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3659335231
ISBN 13: 9783659335235
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Aim of the book: To build an efficient automated recognition system for recognizing objects on a scene, so many problems must be solved and many assumptions must be made. These assumptions e.g. include the image has two grey levels (using a threshold filter for 256 grey levels), the object surfaces are smooth and there is no shadow. The problems to be solved are; size changing, translation, rotation, reflection and noise effects as well as the deformation of shape. Automation system was implemented by applying two approaches techniques; one is the application of the invariant moments. The other one is the invariant auto correlation. Although the invariant moment approach was used, it was sensitive to noise and useable with the video images. But the invariant auto correlation approach solved the sensitivity to noise. 68 pp. Englisch. Seller Inventory # 9783659335235
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Automated Intelligent System for Recognising Objects on Scene
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Automated Intelligent System for Recognising Objects on Scene
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Condition: New. Print on Demand pp. 68 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Seller Inventory # 133813850
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Automated Intelligent System for Recognising Objects on Scene
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hussain Abadal-Salam T.Dr.Abadal-Salam T. HUSSAIN: PhD Degree in Mechatronics Eng. MSc Electronics Eng., B.Eng., G.C.E. Sci. & PhD in Busi. Admin. Currently he is affiliated with Higher National Diploma (BTEC-Edexcel, SIT, UK) & Dr. . Seller Inventory # 5149345
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Automated Intelligent System for Recognising Objects on Scene
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659335231
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Condition: New. PRINT ON DEMAND pp. 68. Seller Inventory # 18126773647
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Automated Intelligent System for Recognising Objects on Scene
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LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3659335231
ISBN 13: 9783659335235
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Aim of the book: To build an efficient automated recognition system for recognizing objects on a scene, so many problems must be solved and many assumptions must be made. These assumptions e.g. include the image has two grey levels (using a threshold filter for 256 grey levels), the object surfaces are smooth and there is no shadow. The problems to be solved are; size changing, translation, rotation, reflection and noise effects as well as the deformation of shape. Automation system was implemented by applying two approaches techniques; one is the application of the invariant moments. The other one is the invariant auto correlation. Although the invariant moment approach was used, it was sensitive to noise and useable with the video images. But the invariant auto correlation approach solved the sensitivity to noise.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9783659335235
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Automated Intelligent System for Recognising Objects on Scene
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659335231
ISBN 13: 9783659335235
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Aim of the book: To build an efficient automated recognition system for recognizing objects on a scene, so many problems must be solved and many assumptions must be made. These assumptions e.g. include the image has two grey levels (using a threshold filter for 256 grey levels), the object surfaces are smooth and there is no shadow. The problems to be solved are; size changing, translation, rotation, reflection and noise effects as well as the deformation of shape. Automation system was implemented by applying two approaches techniques; one is the application of the invariant moments. The other one is the invariant auto correlation. Although the invariant moment approach was used, it was sensitive to noise and useable with the video images. But the invariant auto correlation approach solved the sensitivity to noise. Seller Inventory # 9783659335235
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Automated Intelligent System for Recognising Objects on Scene
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Taschenbuch. Condition: Neu. Automated Intelligent System for Recognising Objects on Scene | Abadal-Salam T. Hussain (u. a.) | Taschenbuch | 68 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659335235 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105595847
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Automated Intelligent System for Recognising Objects on Scene
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA82936593352316
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