Measuring leaf area using otsu segmentation method (LAMOS)
Objective: This paper aims to measure the leaf area using image processing techniques that automate the grid counting method. Methods: For measurement of leaf area, firstly segmentation by Otsu method is required. Subsequently, denoising by median filter and followed by object recognition, boundary...
| الحاوية / القاعدة: | Indian Journal of Science and Technology |
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| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Indian Society for Education and Environment
2016
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018205206&doi=10.17485%2fijst%2f2016%2fv9i48%2f109307&partnerID=40&md5=0cc628ee0140bed90b52c4302f01dd86 |
| id |
Radzali M.H.; Kamal N.A.M.; Diah N.M. |
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| spelling |
Radzali M.H.; Kamal N.A.M.; Diah N.M. 2-s2.0-85018205206 Measuring leaf area using otsu segmentation method (LAMOS) 2016 Indian Journal of Science and Technology 9 48 10.17485/ijst/2016/v9i48/109307 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018205206&doi=10.17485%2fijst%2f2016%2fv9i48%2f109307&partnerID=40&md5=0cc628ee0140bed90b52c4302f01dd86 Objective: This paper aims to measure the leaf area using image processing techniques that automate the grid counting method. Methods: For measurement of leaf area, firstly segmentation by Otsu method is required. Subsequently, denoising by median filter and followed by object recognition, boundary tracing and region filling techniques. The tool that is used in this study is Visual C++ 2010 Express using C++ and .Net languages. Findings: Three types of leaves have been tested and the results show that this new method could be used in determining the leaf area with a small relative error. Application/Improvement: Leaf area is an important data to agronomist in conducting their research on plant growth, plant photosynthesis, plant physiological behavior and any other research that requires leaf area data. Indian Society for Education and Environment 9746846 English Article All Open Access; Gold Open Access |
| author |
2-s2.0-85018205206 |
| spellingShingle |
2-s2.0-85018205206 Measuring leaf area using otsu segmentation method (LAMOS) |
| author_facet |
2-s2.0-85018205206 |
| author_sort |
2-s2.0-85018205206 |
| title |
Measuring leaf area using otsu segmentation method (LAMOS) |
| title_short |
Measuring leaf area using otsu segmentation method (LAMOS) |
| title_full |
Measuring leaf area using otsu segmentation method (LAMOS) |
| title_fullStr |
Measuring leaf area using otsu segmentation method (LAMOS) |
| title_full_unstemmed |
Measuring leaf area using otsu segmentation method (LAMOS) |
| title_sort |
Measuring leaf area using otsu segmentation method (LAMOS) |
| publishDate |
2016 |
| container_title |
Indian Journal of Science and Technology |
| container_volume |
9 |
| container_issue |
48 |
| doi_str_mv |
10.17485/ijst/2016/v9i48/109307 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018205206&doi=10.17485%2fijst%2f2016%2fv9i48%2f109307&partnerID=40&md5=0cc628ee0140bed90b52c4302f01dd86 |
| description |
Objective: This paper aims to measure the leaf area using image processing techniques that automate the grid counting method. Methods: For measurement of leaf area, firstly segmentation by Otsu method is required. Subsequently, denoising by median filter and followed by object recognition, boundary tracing and region filling techniques. The tool that is used in this study is Visual C++ 2010 Express using C++ and .Net languages. Findings: Three types of leaves have been tested and the results show that this new method could be used in determining the leaf area with a small relative error. Application/Improvement: Leaf area is an important data to agronomist in conducting their research on plant growth, plant photosynthesis, plant physiological behavior and any other research that requires leaf area data. |
| publisher |
Indian Society for Education and Environment |
| issn |
9746846 |
| language |
English |
| format |
Article |
| accesstype |
All Open Access; Gold Open Access |
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1828987879733329920 |