Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020
Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image
Dublin Core
Title
Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020
Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image
Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image
Subject
agriculture; leaf; precision; segmentation; Sobel.
Description
Abstract. The segmentation of a single leaf from an image with overlapping leaves is an important step towards the realization of effective precision agricultural systems. A popular approach used for this segmentation task is the hybridization of the Chan-Vese model and the Sobel operator CV-SO. This hybridized approach is popular because of its simplicity and effectiveness in segmenting a single leaf of interest from a complex background of overlapping
leaves. However, the manual threshold and parameter tuning procedure of the CV-SO algorithm often degrades its detection performance. In this paper, we address this problem by introducing a dynamic iterative model to determine the optimal parameters for the CV-SO algorithm, which we dubbed the Dynamic CV-SO
(DCV-SO) algorithm. This is a new hybrid automatic segmentation technique that attempts to improve the detection performance of the original hybrid CV-SO algorithm by reducing its mean error rate. The results obtained via simulation indicate that the proposed method yielded a 1.23% reduction in the mean error rate against the original CV-SO method.
leaves. However, the manual threshold and parameter tuning procedure of the CV-SO algorithm often degrades its detection performance. In this paper, we address this problem by introducing a dynamic iterative model to determine the optimal parameters for the CV-SO algorithm, which we dubbed the Dynamic CV-SO
(DCV-SO) algorithm. This is a new hybrid automatic segmentation technique that attempts to improve the detection performance of the original hybrid CV-SO algorithm by reducing its mean error rate. The results obtained via simulation indicate that the proposed method yielded a 1.23% reduction in the mean error rate against the original CV-SO method.
Creator
Bala Jibrin, Habeeb Bello-Salau, Ime Jarlath Umoh, Adeiza James Onumanyi, Ahmed Tijani Salawudeen & Basira Yahaya
Source
DOI: 10.5614/itbj.ict.res.appl.2021.14.3.4
Publisher
IRCS-ITB
Date
23 Maret 2021
Contributor
Sri Wahyuni
Rights
ISSN: 2337-5787
Format
PDF
Language
English
Type
Text
Coverage
Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020
Files
Collection
Citation
Bala Jibrin, Habeeb Bello-Salau, Ime Jarlath Umoh, Adeiza James Onumanyi, Ahmed Tijani Salawudeen & Basira Yahaya, “Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020
Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image,” Repository Horizon University Indonesia, accessed February 2, 2025, https://repository.horizon.ac.id/items/show/3391.
Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image,” Repository Horizon University Indonesia, accessed February 2, 2025, https://repository.horizon.ac.id/items/show/3391.