Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach

Image pre-processing task is always the first crucial step in plant species recognition system which is responsible to keep precision of feature measurement process. Some of researchers have developed the image pre-processing algorithm to remove petiole section. However, the algorithm was developed...

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Main Authors: Ahmad Fakhri, Ab. Nasir, M Nordin, A Rahman, Nashriyah, Mat, Abd Rasid, Mamat, Ahmad Shahrizan, Abdul Ghani
Format: Article
Language:English
Published: Science Publishing Corporation 2018
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Online Access:http://umpir.ump.edu.my/id/eprint/22641/
http://umpir.ump.edu.my/id/eprint/22641/
http://umpir.ump.edu.my/id/eprint/22641/
http://umpir.ump.edu.my/id/eprint/22641/1/Image%20pre-processing%20algorithm%20for%20Ficus%20deltoidea%20Jack%20%28Moraceae%29%20varietal%20recognition.%20A%20repeated%20perpendicular%20line%20scanning%20approach.pdf
id ump-22641
recordtype eprints
spelling ump-226412018-12-11T03:46:15Z http://umpir.ump.edu.my/id/eprint/22641/ Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach Ahmad Fakhri, Ab. Nasir M Nordin, A Rahman Nashriyah, Mat Abd Rasid, Mamat Ahmad Shahrizan, Abdul Ghani TS Manufactures Image pre-processing task is always the first crucial step in plant species recognition system which is responsible to keep precision of feature measurement process. Some of researchers have developed the image pre-processing algorithm to remove petiole section. However, the algorithm was developed using semi-automatic algorithm which is strongly believed to give an inaccurate feature measurement. In this paper, a new technique of automatic petiole section removal is proposed based on repeated perpendicular petiole length scanning concept. Four phases of petiole removal technique involved are: i) binary image enhancement, ii) boundary binary image contour tracing, iii) petiole section scanning, and iv) optimal image size retaining and cropping. The experiments are conducted using six varieties of Ficus deltoidea Jack (Moraceae) leaves. The experimental results indicate that the segmentation results are acceptably good since the digital leaf images have less than 1% of segmentation errors on several ground truth images. Science Publishing Corporation 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22641/1/Image%20pre-processing%20algorithm%20for%20Ficus%20deltoidea%20Jack%20%28Moraceae%29%20varietal%20recognition.%20A%20repeated%20perpendicular%20line%20scanning%20approach.pdf Ahmad Fakhri, Ab. Nasir and M Nordin, A Rahman and Nashriyah, Mat and Abd Rasid, Mamat and Ahmad Shahrizan, Abdul Ghani (2018) Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach. International Journal of Engineering & Technology, 7 (2). pp. 49-53. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/11211/4256 10.14419/ijet.v7i2.15.11211
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TS Manufactures
spellingShingle TS Manufactures
Ahmad Fakhri, Ab. Nasir
M Nordin, A Rahman
Nashriyah, Mat
Abd Rasid, Mamat
Ahmad Shahrizan, Abdul Ghani
Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
description Image pre-processing task is always the first crucial step in plant species recognition system which is responsible to keep precision of feature measurement process. Some of researchers have developed the image pre-processing algorithm to remove petiole section. However, the algorithm was developed using semi-automatic algorithm which is strongly believed to give an inaccurate feature measurement. In this paper, a new technique of automatic petiole section removal is proposed based on repeated perpendicular petiole length scanning concept. Four phases of petiole removal technique involved are: i) binary image enhancement, ii) boundary binary image contour tracing, iii) petiole section scanning, and iv) optimal image size retaining and cropping. The experiments are conducted using six varieties of Ficus deltoidea Jack (Moraceae) leaves. The experimental results indicate that the segmentation results are acceptably good since the digital leaf images have less than 1% of segmentation errors on several ground truth images.
format Article
author Ahmad Fakhri, Ab. Nasir
M Nordin, A Rahman
Nashriyah, Mat
Abd Rasid, Mamat
Ahmad Shahrizan, Abdul Ghani
author_facet Ahmad Fakhri, Ab. Nasir
M Nordin, A Rahman
Nashriyah, Mat
Abd Rasid, Mamat
Ahmad Shahrizan, Abdul Ghani
author_sort Ahmad Fakhri, Ab. Nasir
title Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
title_short Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
title_full Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
title_fullStr Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
title_full_unstemmed Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
title_sort image pre-processing algorithm for ficus deltoidea jack (moraceae) varietal recognition: a repeated perpendicular line scanning approach
publisher Science Publishing Corporation
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22641/
http://umpir.ump.edu.my/id/eprint/22641/
http://umpir.ump.edu.my/id/eprint/22641/
http://umpir.ump.edu.my/id/eprint/22641/1/Image%20pre-processing%20algorithm%20for%20Ficus%20deltoidea%20Jack%20%28Moraceae%29%20varietal%20recognition.%20A%20repeated%20perpendicular%20line%20scanning%20approach.pdf
first_indexed 2023-09-18T22:33:50Z
last_indexed 2023-09-18T22:33:50Z
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