9783330331082 - CBIR From Fruit Image Database and Recognition: CBIR from Fruit Image Database and Recognition de Mente, Rajivkumar; Dhandra, B. V. (6 resultados)

Paperback. Condición: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

Taschenbuch. Condición: Neu. CBIR From Fruit Image Database and Recognition | CBIR from Fruit Image Database and Recognition | Rajivkumar Mente (u. a.) | Taschenbuch | 96 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330331082 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR). This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - - The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. - Various feature extraction methods, similarity measure, image segmentation. - The method of retrieval of fruit images based on color . - Retrieval of fruit images using texture and color features. - Segmentation of multifruit images using L a b space. - Recognition of fruit images using shape descriptor and color features. 96 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mente RajivkumarDr. Rajivkumar Mente is working as Assistant Professor in School of Computational Sciences, Solapur University, Solapur, India having 23 years teaching experience. His areas of interest are Digital Image Processing, D.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR). This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - ¿ The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. ¿ Various feature extraction methods, similarity measure, image segmentation. ¿ The method of retrieval of fruit images based on color . ¿ Retrieval of fruit images using texture and color features. ¿ Segmentation of multifruit images using L\*a\*b space. ¿ Recognition of fruit images using shape descriptor and color features.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR). This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - - The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. - Various feature extraction methods, similarity measure, image segmentation. - The method of retrieval of fruit images based on color . - Retrieval of fruit images using texture and color features. - Segmentation of multifruit images using L a b space. - Recognition of fruit images using shape descriptor and color features.