9786203465013 - IMAGE RETRIEVAL & CLASSIFICATION BASED ON SELECTIVE FEATURE EXTRACTION: Include comparison of Classification Algorithms too... de Sravani, A.; Dinesh Reddy, B.; Anu... (8 resultados)

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Taschenbuch. Condición: 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 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 84 pp. Englisch.

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Condición: 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 Learning and Image Processing. She .

Taschenbuch. Condición: 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 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 categoriesVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.

Taschenbuch. Condición: 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.

Taschenbuch. Condición: Neu. IMAGE RETRIEVAL & CLASSIFICATION BASED ON SELECTIVE FEATURE EXTRACTION | Include comparison of Classification Algorithms too. | A. Sravani (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203465013 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.