Most type of images are identified with the help of textures. Classifying the texture of an image is an important aspect of Image Classification and computer vision. Many fields like bio-metrics, remote sensing, document classification, object and face recognition require texture classification. Texture classification basically consists of two sub problems. The first problem is the feature extraction and the second problem is the classifier designation. This book discusses about some novel feature selection techniques developed to speed up the process of image classification.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisVendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srinivas JagirdarSrinivas Jagirdar and Ahmed Abdul Moiz Qyser hold doctoral degrees in computer science and engineering.Their research interests include Computer Vision, Software Engineering and Cloud Computing. Together they have au. N° de réf. du vendeur 492303426
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most type of images are identified with the help of textures. Classifying the texture of an image is an important aspect of Image Classification and computer vision. Many fields like bio-metrics, remote sensing, document classification, object and face recognition require texture classification. Texture classification basically consists of two sub problems. The first problem is the feature extraction and the second problem is the classifier designation. This book discusses about some novel feature selection techniques developed to speed up the process of image classification. 84 pp. Englisch. N° de réf. du vendeur 9786203928457
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most type of images are identified with the help of textures. Classifying the texture of an image is an important aspect of Image Classification and computer vision. Many fields like bio-metrics, remote sensing, document classification, object and face recognition require texture classification. Texture classification basically consists of two sub problems. The first problem is the feature extraction and the second problem is the classifier designation. This book discusses about some novel feature selection techniques developed to speed up the process of image classification. N° de réf. du vendeur 9786203928457
Quantité disponible : 1 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. Neuware -Most type of images are identified with the help of textures. Classifying the texture of an image is an important aspect of Image Classification and computer vision. Many fields like bio-metrics, remote sensing, document classification, object and face recognition require texture classification. Texture classification basically consists of two sub problems. The first problem is the feature extraction and the second problem is the classifier designation. This book discusses about some novel feature selection techniques developed to speed up the process of image classification.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. N° de réf. du vendeur 9786203928457
Quantité disponible : 2 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26395831874
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18395831880
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 400577949
Quantité disponible : 4 disponible(s)