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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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Dr. 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 Teacher Award' and 'AdarshaVidyaSaraswatiRashtriyaPuraskar' in 2017.Mr. A. Arun Kumar graduated from JNTUK is the co-author.
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786138959151
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Zustand: 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 . Bestandsnummer des Verkäufers 515836531
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 120679862
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786138959151
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786138959151
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