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Research on Grading Detection of the Wheat Seeds

Evaluating the merits of the wheat seed is an important significance for wheat breeding. We studied analytic hierarchy process (AHP) for seeds grading by digital image processing techniques in the paper. Firstly, preprocess the collected wheat seed images; extract some parameters, such as area, plum...

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Detalles Bibliográficos
Autores principales: Han, Xian-Zhong, Wang, Ke-Jian, Yuan, Yingchun, Chen, Chen, Liang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032770/
https://www.ncbi.nlm.nih.gov/pubmed/24892073
http://dx.doi.org/10.1155/2014/702906
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author Han, Xian-Zhong
Wang, Ke-Jian
Yuan, Yingchun
Chen, Chen
Liang, Liang
author_facet Han, Xian-Zhong
Wang, Ke-Jian
Yuan, Yingchun
Chen, Chen
Liang, Liang
author_sort Han, Xian-Zhong
collection PubMed
description Evaluating the merits of the wheat seed is an important significance for wheat breeding. We studied analytic hierarchy process (AHP) for seeds grading by digital image processing techniques in the paper. Firstly, preprocess the collected wheat seed images; extract some parameters, such as area, plumpness, rectangular, and elongation of the seed, and then build the level model. Experiments showed the model is right, and level accuracy rate is more than 95%.
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spelling pubmed-40327702014-06-02 Research on Grading Detection of the Wheat Seeds Han, Xian-Zhong Wang, Ke-Jian Yuan, Yingchun Chen, Chen Liang, Liang ScientificWorldJournal Research Article Evaluating the merits of the wheat seed is an important significance for wheat breeding. We studied analytic hierarchy process (AHP) for seeds grading by digital image processing techniques in the paper. Firstly, preprocess the collected wheat seed images; extract some parameters, such as area, plumpness, rectangular, and elongation of the seed, and then build the level model. Experiments showed the model is right, and level accuracy rate is more than 95%. Hindawi Publishing Corporation 2014 2014-04-16 /pmc/articles/PMC4032770/ /pubmed/24892073 http://dx.doi.org/10.1155/2014/702906 Text en Copyright © 2014 Xian-Zhong Han et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Han, Xian-Zhong
Wang, Ke-Jian
Yuan, Yingchun
Chen, Chen
Liang, Liang
Research on Grading Detection of the Wheat Seeds
title Research on Grading Detection of the Wheat Seeds
title_full Research on Grading Detection of the Wheat Seeds
title_fullStr Research on Grading Detection of the Wheat Seeds
title_full_unstemmed Research on Grading Detection of the Wheat Seeds
title_short Research on Grading Detection of the Wheat Seeds
title_sort research on grading detection of the wheat seeds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032770/
https://www.ncbi.nlm.nih.gov/pubmed/24892073
http://dx.doi.org/10.1155/2014/702906
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