Development of automatic counting system for urediospores of wheat stripe rust based on image processing.
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| Title: | Development of automatic counting system for urediospores of wheat stripe rust based on image processing. |
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| Authors: | Li Xiaolong1 good_6017@126.com, Ma Zhanhong1 mazh@cau.edu.cn, Bienvenido, Fernando2 fbienve@ual.es, Qin Feng1 15210590688@163.com, Wang Haiguang1 wanghaiguang@cau.edu.cn, Alvarez-Bermejo, José Antonio2 jaberme@ual.es |
| Source: | International Journal of Agricultural & Biological Engineering. Sep2017, Vol. 10 Issue 5, p134-143. 10p. |
| Subjects: | Digital counters, Puccinia striiformis, MatLab (Computer software), Digital image processing, Digital electronics |
| Abstract: | To realize automatic counting of urediospores of Puccinia striiformis f. sp. tritici (Pst) (causal agent of wheat stripe rust), an automatic counting system for urediospores of wheat stripe rust pathogen based on image processing was developed using MATLAB GUIDE platform in combination with Local C Compiler (LCC). The system is independent of the MATLAB environment and can be run on a computer without the MATLAB software. Using this system, automatic counting of Pst urediospores in a microscopic image can be implemented via image processing technologies including image scaling, clustering segmentation, morphological modification, watershed transformation, connected region labeling, etc. Structure design of the automatic counting system, the key algorithms used in the system and realization of the main functions of the system were described in detail. Spore counting tests were conducted using microscopic digital images of Pst urediospores and the high accuracies more than 95% were obtained. The results indicated that it is feasible to count Pst urediospores automatically using the developed system based on image processing. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Agricultural & Biological Engineering is the property of International Journal of Agricultural & Biological Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 125907157 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of automatic counting system for urediospores of wheat stripe rust based on image processing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li+Xiaolong%22">Li Xiaolong</searchLink><relatesTo>1</relatesTo><i> good_6017@126.com</i><br /><searchLink fieldCode="AR" term="%22Ma+Zhanhong%22">Ma Zhanhong</searchLink><relatesTo>1</relatesTo><i> mazh@cau.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Bienvenido%2C+Fernando%22">Bienvenido, Fernando</searchLink><relatesTo>2</relatesTo><i> fbienve@ual.es</i><br /><searchLink fieldCode="AR" term="%22Qin+Feng%22">Qin Feng</searchLink><relatesTo>1</relatesTo><i> 15210590688@163.com</i><br /><searchLink fieldCode="AR" term="%22Wang+Haiguang%22">Wang Haiguang</searchLink><relatesTo>1</relatesTo><i> wanghaiguang@cau.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Alvarez-Bermejo%2C+José+Antonio%22">Alvarez-Bermejo, José Antonio</searchLink><relatesTo>2</relatesTo><i> jaberme@ual.es</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Agricultural+%26+Biological+Engineering%22">International Journal of Agricultural & Biological Engineering</searchLink>. Sep2017, Vol. 10 Issue 5, p134-143. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Digital+counters%22">Digital counters</searchLink><br /><searchLink fieldCode="DE" term="%22Puccinia+striiformis%22">Puccinia striiformis</searchLink><br /><searchLink fieldCode="DE" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+electronics%22">Digital electronics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To realize automatic counting of urediospores of Puccinia striiformis f. sp. tritici (Pst) (causal agent of wheat stripe rust), an automatic counting system for urediospores of wheat stripe rust pathogen based on image processing was developed using MATLAB GUIDE platform in combination with Local C Compiler (LCC). The system is independent of the MATLAB environment and can be run on a computer without the MATLAB software. Using this system, automatic counting of Pst urediospores in a microscopic image can be implemented via image processing technologies including image scaling, clustering segmentation, morphological modification, watershed transformation, connected region labeling, etc. Structure design of the automatic counting system, the key algorithms used in the system and realization of the main functions of the system were described in detail. Spore counting tests were conducted using microscopic digital images of Pst urediospores and the high accuracies more than 95% were obtained. The results indicated that it is feasible to count Pst urediospores automatically using the developed system based on image processing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Agricultural & Biological Engineering is the property of International Journal of Agricultural & Biological Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.25165/j.ijabe.20171005.3084 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 134 Subjects: – SubjectFull: Digital counters Type: general – SubjectFull: Puccinia striiformis Type: general – SubjectFull: MatLab (Computer software) Type: general – SubjectFull: Digital image processing Type: general – SubjectFull: Digital electronics Type: general Titles: – TitleFull: Development of automatic counting system for urediospores of wheat stripe rust based on image processing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li Xiaolong – PersonEntity: Name: NameFull: Ma Zhanhong – PersonEntity: Name: NameFull: Bienvenido, Fernando – PersonEntity: Name: NameFull: Qin Feng – PersonEntity: Name: NameFull: Wang Haiguang – PersonEntity: Name: NameFull: Alvarez-Bermejo, José Antonio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 19346344 Numbering: – Type: volume Value: 10 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Agricultural & Biological Engineering Type: main |
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