Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848421674 ISBN 13: 9783848421671
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 107,72
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 180.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3848421674 ISBN 13: 9783848421671
Librería: preigu, Osnabrück, Alemania
EUR 58,00
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Fish Classification | Fish Classification Using Memetic Algorithms with Back Propagation Classifier | Mutasem Alsmadi (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848421671 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848421674 ISBN 13: 9783848421671
Librería: moluna, Greven, Alemania
EUR 56,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alsmadi MutasemMutasem Khalil Sari Al Smadi. He received his BS degree in Software engineering in 2006 from Philadelphia University, Jordan. His MSc degree in intelligent system in 2007 from University Utara Malaysia. His PhD degree .
Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848421674 ISBN 13: 9783848421671
Librería: Majestic Books, Hounslow, Reino Unido
EUR 111,19
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 180 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848421674 ISBN 13: 9783848421671
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 109,55
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 180.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3848421674 ISBN 13: 9783848421671
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 68,82
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work presents a novel fish classification methodology based on a robust feature selection technique. Unlike existing works for fish classification, which propose feature descriptors and do not analyze their individual impacts in the whole classification task. A problem with classification of fish species is still vital facets due to: arbitrary fish size and orientation; feature variability; environmental changes; poor image quality; segmentation failures; imaging conditions; physical shaping; distortion; noise; overlap, and occlusion of objects in digital images. In addition, the problem in fish classification is to find meaningful features based on the image segmentation and features extraction, and an efficient classifier that produces a better fish images classification accuracy rate. Thus, this research aims to design and develop a novel fish classifier based on an appropriate feature set obtained from image segmentation and features extraction methods, to classify the given fish output into its cluster (poison and non-poison fish), therefore; classifying the clustered poison and non-poison fish into its family.