دورية أكاديمية
Automatic Leaf Epidermis Assessment Using Fourier Descriptors in Texture Images.
| العنوان: | Automatic Leaf Epidermis Assessment Using Fourier Descriptors in Texture Images. |
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| المؤلفون: | da Silva NR; Institute of Mathematics and Computer Science, University of São Paulo, USP, Av. Trabalhador são-carlense, 400, 13566-590, São Carlos, São Paulo, Brazil.; Institute of Biotechnology, Federal University of Goiás, UFG, Av. Dr. Lamartine Pinto de Avelar, 1200, 75704-020, Catalão, Goiás, Brazil., da Silva Oliveira MW; Institute of Mathematics and Computer Science, University of São Paulo, USP, Av. Trabalhador são-carlense, 400, 13566-590, São Carlos, São Paulo, Brazil.; São Carlos Institute of Physics, University of São Paulo, USP, Av. Trabalhador são-carlense, 400, 13560-970, São Carlos, São Paulo, Brazil., De Almeida Filho HA; São Carlos Institute of Physics, University of São Paulo, USP, Av. Trabalhador são-carlense, 400, 13560-970, São Carlos, São Paulo, Brazil., Pinheiro LFS; Department of Biological Sciences, School of Sciences, Humanities and Languages, São Paulo State University, UNESP, Av. Dom Antonio, 2100, 19806-900, Assis, São Paulo, Brazil.; Biosciences Institute, São Paulo State University, UNESP, Av. 24A, 1515, 13506-900, Rio Claro, São Paulo, Brazil., Kolb RM; Department of Biological Sciences, School of Sciences, Humanities and Languages, São Paulo State University, UNESP, Av. Dom Antonio, 2100, 19806-900, Assis, São Paulo, Brazil.; Biosciences Institute, São Paulo State University, UNESP, Av. 24A, 1515, 13506-900, Rio Claro, São Paulo, Brazil., Bruno OM; Institute of Mathematics and Computer Science, University of São Paulo, USP, Av. Trabalhador são-carlense, 400, 13566-590, São Carlos, São Paulo, Brazil.; São Carlos Institute of Physics, University of São Paulo, USP, Av. Trabalhador são-carlense, 400, 13560-970, São Carlos, São Paulo, Brazil. |
| المصدر: | Bio-protocol [Bio Protoc] 2017 Dec 05; Vol. 7 (23), pp. e2630. Date of Electronic Publication: 2017 Dec 05 (Print Publication: 2017). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Bio-protocol LLC Country of Publication: United States NLM ID: 101635102 Publication Model: eCollection Cited Medium: Internet ISSN: 2331-8325 (Electronic) Linking ISSN: 23318325 NLM ISO Abbreviation: Bio Protoc Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Sunnyvale, CA, USA : Bio-protocol LLC, [2011]- |
| مستخلص: | The identification of plant species is not a trivial task, since it is carried out by experts and depends on the presence of fruits, flowers and leaves. However, fruits and flowers are not available throughout the year, while leaves are accessible most of the year. In order to assist the specialized work of species identification, methods of texture image analysis are used to extract characteristics from samples of imaged leaves and thus predict the species. Texture image analysis is a versatile and powerful technique able to extract measurements from patterns in the images. Using this technique, recent research has found a close relationship between texture and plant species (da Silva et al. , 2015 and 2016). Here, we describe the procedure to extract texture features from microscopic images of leaves using Fourier (Cosgriff, 1960; Azencott, 1997; Gonzalez and Woods, 2006). It is important to highlight that other methods for texture extraction can be used as well. This protocol is split into two parts: (A) leaf epidermal dissociation and (B) automatic method for leaf epidermal image analysis. (Copyright © 2017 The Authors; exclusive licensee Bio-protocol LLC.) |
| References: | PLoS One. 2015 Jun 19;10(6):e0130014. (PMID: 26091501) Sci Rep. 2016 May 24;6:25994. (PMID: 27217018) |
| فهرسة مساهمة: | Keywords: Epidermis dissociation; Leaf epidermis; Plant identification; Stomata visualization; Texture image analysis |
| تواريخ الأحداث: | Date Created: 20211001 Latest Revision: 20220210 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC8438393 |
| DOI: | 10.21769/BioProtoc.2630 |
| PMID: | 34595298 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 2331-8325 |
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| DOI: | 10.21769/BioProtoc.2630 |