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Feature extraction of overlapping hevea leaves: a comparative study

Automation of rubber tree clone classification has inspired research into new methods of leaf feature extraction. In current practice, rubber clone inspectors has been using several leaf features to identify clone types. One of the unique features of rubber tree leaf is palmate leaflets. This charac...

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Main Authors: Anjomshoae, S. T., Rahim, M. S. B. M.
Format: Article
Language:English
Published: China Agricultural University 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/79717/1/MohdShafry2018_FeatureExtractionofOverlappingHevea.pdf
http://eprints.utm.my/id/eprint/79717/
http://dx.doi.org/10.1016/j.inpa.2018.02.001
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spelling my.utm.797172019-01-28T06:37:47Z http://eprints.utm.my/id/eprint/79717/ Feature extraction of overlapping hevea leaves: a comparative study Anjomshoae, S. T. Rahim, M. S. B. M. QA75 Electronic computers. Computer science Automation of rubber tree clone classification has inspired research into new methods of leaf feature extraction. In current practice, rubber clone inspectors has been using several leaf features to identify clone types. One of the unique features of rubber tree leaf is palmate leaflets. This characteristic generates different leaflet positions, where the leaves are overlapping or separated. In this research, we propose keypoint extraction and line detection methods to extract shape and axil (angle between petioles) features of leaflet positions. The results of keypoint extraction methods, namely, SIFT, Harris, and FAST, were compared and discussed for shape feature extraction. Next, Hough transformation and boundary-tracing methods were compared to identify the suitable axil detection method. The evaluation result demonstrates the proper keypoint extraction method for shape context and the clear advantages of Hough Transformation in accuracy of angle detection. China Agricultural University 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79717/1/MohdShafry2018_FeatureExtractionofOverlappingHevea.pdf Anjomshoae, S. T. and Rahim, M. S. B. M. (2018) Feature extraction of overlapping hevea leaves: a comparative study. Information Processing in Agriculture, 5 (2). pp. 234-245. ISSN 2214-3173 http://dx.doi.org/10.1016/j.inpa.2018.02.001 DOI:10.1016/j.inpa.2018.02.001
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Anjomshoae, S. T.
Rahim, M. S. B. M.
Feature extraction of overlapping hevea leaves: a comparative study
description Automation of rubber tree clone classification has inspired research into new methods of leaf feature extraction. In current practice, rubber clone inspectors has been using several leaf features to identify clone types. One of the unique features of rubber tree leaf is palmate leaflets. This characteristic generates different leaflet positions, where the leaves are overlapping or separated. In this research, we propose keypoint extraction and line detection methods to extract shape and axil (angle between petioles) features of leaflet positions. The results of keypoint extraction methods, namely, SIFT, Harris, and FAST, were compared and discussed for shape feature extraction. Next, Hough transformation and boundary-tracing methods were compared to identify the suitable axil detection method. The evaluation result demonstrates the proper keypoint extraction method for shape context and the clear advantages of Hough Transformation in accuracy of angle detection.
format Article
author Anjomshoae, S. T.
Rahim, M. S. B. M.
author_facet Anjomshoae, S. T.
Rahim, M. S. B. M.
author_sort Anjomshoae, S. T.
title Feature extraction of overlapping hevea leaves: a comparative study
title_short Feature extraction of overlapping hevea leaves: a comparative study
title_full Feature extraction of overlapping hevea leaves: a comparative study
title_fullStr Feature extraction of overlapping hevea leaves: a comparative study
title_full_unstemmed Feature extraction of overlapping hevea leaves: a comparative study
title_sort feature extraction of overlapping hevea leaves: a comparative study
publisher China Agricultural University
publishDate 2018
url http://eprints.utm.my/id/eprint/79717/1/MohdShafry2018_FeatureExtractionofOverlappingHevea.pdf
http://eprints.utm.my/id/eprint/79717/
http://dx.doi.org/10.1016/j.inpa.2018.02.001
_version_ 1643658272816758784
score 13.211869

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