Image retrieval is one of the main topics in the field of computer vision and pattern recognition. In the early 1990s, researchers have built many image retrieval systems, such as QIBC, MARS, FIDS and so on. They are different from the traditional image retrieval systems. These systems are based on image features such as color, texture, shape of objects and so on. Nowadays, the main research work of image retrieval consists of feature extracting techniques, image similarly match and image retrieval methods. Many researchers have put forward various algorithms to extract color, texture and shape features. Color is the most dominant and distinguishing visual feature. Color histogram-based techniques re-main popular due to their simplicity, but it lacks spatial information. Several color descriptors try to incorporate spatial information to varying degrees, it include the compact color moments, color coherence vector and color correlograms [1]. Texture is used to specify the roughness or coarseness of object surface and described as a pattern with some kind of regularity.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image retrieval is one of the main topics in the field of computer vision and pattern recognition. In the early 1990s, researchers have built many image retrieval systems, such as QIBC, MARS, FIDS and so on. They are different from the traditional image retrieval systems. These systems are based on image features such as color, texture, shape of objects and so on. Nowadays, the main research work of image retrieval consists of feature extracting techniques, image similarly match and image retrieval methods. Many researchers have put forward various algorithms to extract color, texture and shape features. Color is the most dominant and distinguishing visual feature. Color histogram-based techniques re-main popular due to their simplicity, but it lacks spatial information. Several color descriptors try to incorporate spatial information to varying degrees, it include the compact color moments, color coherence vector and color correlograms [1]. Texture is used to specify the roughness or coarseness of object surface and described as a pattern with some kind of regularity. 120 pp. Englisch. Codice articolo 9786138959151
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Da: Books Puddle, New York, NY, U.S.A.
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rao A SDr. A. Srinivasa Rao is currently working as a Professor in CSE Dept at ALIET is having 27 years of experience with 2 books authored ,50 articles in reputed journals,70 papers ,besides 2 patents.Dr Rao bestowed with the `Best . Codice articolo 515836531
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18400818726
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. A HAND BOOK ON IMAGE RETRIEVING | A S Rao (u. a.) | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138959151 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 120679862
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image retrieval is one of the main topics in the field of computer vision and pattern recognition. In the early 1990s, researchers have built many image retrieval systems, such as QIBC, MARS, FIDS and so on. They are different from the traditional image retrieval systems. These systems are based on image features such as color, texture, shape of objects and so on. Nowadays, the main research work of image retrieval consists of feature extracting techniques, image similarly match and image retrieval methods. Many researchers have put forward various algorithms to extract color, texture and shape features. Color is the most dominant and distinguishing visual feature. Color histogram-based techniques re-main popular due to their simplicity, but it lacks spatial information. Several color descriptors try to incorporate spatial information to varying degrees, it include the compact color moments, color coherence vector and color correlograms [1]. Texture is used to specify the roughness or coarseness of object surface and described as a pattern with some kind of regularity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. Codice articolo 9786138959151
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image retrieval is one of the main topics in the field of computer vision and pattern recognition. In the early 1990s, researchers have built many image retrieval systems, such as QIBC, MARS, FIDS and so on. They are different from the traditional image retrieval systems. These systems are based on image features such as color, texture, shape of objects and so on. Nowadays, the main research work of image retrieval consists of feature extracting techniques, image similarly match and image retrieval methods. Many researchers have put forward various algorithms to extract color, texture and shape features. Color is the most dominant and distinguishing visual feature. Color histogram-based techniques re-main popular due to their simplicity, but it lacks spatial information. Several color descriptors try to incorporate spatial information to varying degrees, it include the compact color moments, color coherence vector and color correlograms [1]. Texture is used to specify the roughness or coarseness of object surface and described as a pattern with some kind of regularity. Codice articolo 9786138959151
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