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Rice is one of the most important cereal grain crops. It is widely consumed throughout India. There is the growing concern for food security, with particular focus on rice being a staple food. Rice grain classification comes under Agro-Engineering study, which is very important research problem with respect to yield of rice grains as rice is one of the important food grains in Chhattisgarh region. The quality of rice affects the yield of rice. The recent advances in hardware and software have enabled the machine vision and imaging systems to detect, process, analyze, and display a wide range of finer details of objects from their digital images in real-time situations. Thus, grain grading and identification systems based on machine vision techniques are becoming potentially viable. The present research work deals with an approach to perform texture, morphological and colour based retrieval on a corpus of rice grain images. The work has been carried out using Image Warping and Pattern classification approach. The method has been employed to normalize food grain images and hence eliminating the effects of orientation using image warping technique with proper scaling.
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Classification of Rice Grains Using Morphological Features and ANN
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LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 3659977756
ISBN 13: 9783659977756
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rice is one of the most important cereal grain crops. It is widely consumed throughout India. There is the growing concern for food security, with particular focus on rice being a staple food. Rice grain classification comes under Agro-Engineering study, which is very important research problem with respect to yield of rice grains as rice is one of the important food grains in Chhattisgarh region. The quality of rice affects the yield of rice. The recent advances in hardware and software have enabled the machine vision and imaging systems to detect, process, analyze, and display a wide range of finer details of objects from their digital images in real-time situations. Thus, grain grading and identification systems based on machine vision techniques are becoming potentially viable. The present research work deals with an approach to perform texture, morphological and colour based retrieval on a corpus of rice grain images. The work has been carried out using Image Warping and Pattern classification approach. The method has been employed to normalize food grain images and hence eliminating the effects of orientation using image warping technique with proper scaling. 108 pp. Englisch. Codice articolo 9783659977756
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shantaiya SanjivaniDr. Sanjivani Shantaiya completed her Ph.D in the year 2016, M.tech from technical university of Chhattisgargh,Bhilai, C.G. and B.E(CSE) from Amravati university,Maharashtra. Her area of research is image proces. Codice articolo 385771457
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Classification of Rice Grains Using Morphological Features and ANN
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659977756
ISBN 13: 9783659977756
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Paperback. Condizione: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock. Codice articolo 3659977756
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Classification of Rice Grains Using Morphological Features and ANN
Editore:
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 3659977756
ISBN 13: 9783659977756
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Rice is one of the most important cereal grain crops. It is widely consumed throughout India. There is the growing concern for food security, with particular focus on rice being a staple food. Rice grain classification comes under Agro-Engineering study, which is very important research problem with respect to yield of rice grains as rice is one of the important food grains in Chhattisgarh region. The quality of rice affects the yield of rice. The recent advances in hardware and software have enabled the machine vision and imaging systems to detect, process, analyze, and display a wide range of finer details of objects from their digital images in real-time situations. Thus, grain grading and identification systems based on machine vision techniques are becoming potentially viable. The present research work deals with an approach to perform texture, morphological and colour based retrieval on a corpus of rice grain images. The work has been carried out using Image Warping and Pattern classification approach. The method has been employed to normalize food grain images and hence eliminating the effects of orientation using image warping technique with proper scaling.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Codice articolo 9783659977756
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Classification of Rice Grains Using Morphological Features and ANN
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rice is one of the most important cereal grain crops. It is widely consumed throughout India. There is the growing concern for food security, with particular focus on rice being a staple food. Rice grain classification comes under Agro-Engineering study, which is very important research problem with respect to yield of rice grains as rice is one of the important food grains in Chhattisgarh region. The quality of rice affects the yield of rice. The recent advances in hardware and software have enabled the machine vision and imaging systems to detect, process, analyze, and display a wide range of finer details of objects from their digital images in real-time situations. Thus, grain grading and identification systems based on machine vision techniques are becoming potentially viable. The present research work deals with an approach to perform texture, morphological and colour based retrieval on a corpus of rice grain images. The work has been carried out using Image Warping and Pattern classification approach. The method has been employed to normalize food grain images and hence eliminating the effects of orientation using image warping technique with proper scaling. Codice articolo 9783659977756
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Classification of Rice Grains Using Morphological Features and ANN
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ISBN 13: 9783659977756
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Taschenbuch. Condizione: Neu. Classification of Rice Grains Using Morphological Features and ANN | Sanjivani Shantaiya (u. a.) | Taschenbuch | 108 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659977756 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 110533939
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