Application of image texture analysis for varietal classification of barley
This paper presents the results of a study into the use of the texture parameters of barley kernel images in varietal classification. A total of more than 270 textures have been calculated from the surface of single kernels and bulk grain. The measurements were performed in four channels from a 24 b...
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| Veröffentlicht in: | International Agrophysics 2012-02, Vol.26 (1), p.81-90 |
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| creator | Zapotoczny, P. |
| description | This paper presents the results of a study into the use of the texture parameters of barley kernel images in varietal classification. A total of more than 270 textures have been calculated from the surface of single kernels and bulk grain. The measurements were performed in four channels from a 24 bit image. The results were processed statistically by variable reduction and general discriminant analysis. Classification accuracy was more than 99%. |
| doi_str_mv | 10.2478/v10247-012-0012-z |
| format | Article |
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A total of more than 270 textures have been calculated from the surface of single kernels and bulk grain. The measurements were performed in four channels from a 24 bit image. The results were processed statistically by variable reduction and general discriminant analysis. Classification accuracy was more than 99%.</description><identifier>ISSN: 0236-8722</identifier><identifier>EISSN: 2300-8725</identifier><identifier>DOI: 10.2478/v10247-012-0012-z</identifier><language>eng</language><publisher>Lublin: Versita</publisher><subject>automated kernel grading ; barley ; digital image analysis ; discrimination ; image texture analysis</subject><ispartof>International Agrophysics, 2012-02, Vol.26 (1), p.81-90</ispartof><rights>Copyright Versita Feb 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-24b3a9301d2fa49f8f4c9ac21bbf1171ac98674838f376f8c838a30ed5df45ed3</citedby><cites>FETCH-LOGICAL-c409t-24b3a9301d2fa49f8f4c9ac21bbf1171ac98674838f376f8c838a30ed5df45ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Zapotoczny, P.</creatorcontrib><title>Application of image texture analysis for varietal classification of barley</title><title>International Agrophysics</title><description>This paper presents the results of a study into the use of the texture parameters of barley kernel images in varietal classification. 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| ispartof | International Agrophysics, 2012-02, Vol.26 (1), p.81-90 |
| issn | 0236-8722 2300-8725 |
| language | eng |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | automated kernel grading barley digital image analysis discrimination image texture analysis |
| title | Application of image texture analysis for varietal classification of barley |
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