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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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%. |
format | Online Article Text |
id | pubmed-4032770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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