Image Retrieval Classification Based by Sravani (7 results)
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 72.73
US$ 3.99 shippingShips within U.S.A.Quantity: 4 available
Condition: New.
- More images
Language: English
Published by LAP LAMBERT Academic Publishing Mrz 2021, 2021
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
US$ 46.73
US$ 26.15 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this digital era with the availability of enormous digital data on the Internet, the users have to search for different means of retrieving suitable data from the unorganized data. Classification is one such technique which has h…elped the researchers worldwide to narrow their search. Among the data available due to the increase in digital technologies availability of multimedia data is rapidly increasing day by day. To retrieve the required data (images) many researchers have given algorithms or methods to retrieve images among which image classification is one. It has played an important role in many applications like Medicine, Photogrammetric, and Computer Vision etc.In this project, an attempt is made to design a methodology for an efficient image classification system by extracting 50 features followed by image classification by incorporating different classification techniques. This project also deals with retrieving a new image instance which is not present in the training data set followed by image classification. A comparison is done between the classification techniques used and experimental results conducted on 1150 different images belonging to 17 different categories 84 pp. Englisch.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 72.62
US$ 8.64 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 77.24
US$ 11.31 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- More images
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 40.11
US$ 55.70 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sravani A.A.Sravani, currently working as Assistant Professor, Department of CSE in Vignan s Institute of information technology. She has 7 years of teaching experience. She is expertise in Machine Lear…ning and Image Processing. She .
- More images
Language: English
Published by LAP LAMBERT Academic Publishing Mär 2021, 2021
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 46.73
US$ 68.21 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this digital era with the availability of enormous digital data on the Internet, the users have to search for different means of retrieving suitable data from the unorganized data. Classification is one such technique which has helpe…d the researchers worldwide to narrow their search. Among the data available due to the increase in digital technologies availability of multimedia data is rapidly increasing day by day. To retrieve the required data (images) many researchers have given algorithms or methods to retrieve images among which image classification is one. It has played an important role in many applications like Medicine, Photogrammetric, and Computer Vision etc.In this project, an attempt is made to design a methodology for an efficient image classification system by extracting 50 features followed by image classification by incorporating different classification techniques. This project also deals with retrieving a new image instance which is not present in the training data set followed by image classification. A comparison is done between the classification techniques used and experimental results conducted on 1150 different images belonging to 17 different categoriesVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
- More images
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 47.89
US$ 69.03 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this digital era with the availability of enormous digital data on the Internet, the users have to search for different means of retrieving suitable data from the unorganized data. Classification is one such technique which has helped… the researchers worldwide to narrow their search. Among the data available due to the increase in digital technologies availability of multimedia data is rapidly increasing day by day. To retrieve the required data (images) many researchers have given algorithms or methods to retrieve images among which image classification is one. It has played an important role in many applications like Medicine, Photogrammetric, and Computer Vision etc.In this project, an attempt is made to design a methodology for an efficient image classification system by extracting 50 features followed by image classification by incorporating different classification techniques. This project also deals with retrieving a new image instance which is not present in the training data set followed by image classification. A comparison is done between the classification techniques used and experimental results conducted on 1150 different images belonging to 17 different categories.
