jibrin Bala Primary Author mixed material bibliography Bandung ITB Journal Publisher 2021 e English

Artikel Jurnal

hlm : 257-273 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. Ilmu Teknik JICTRA 23375787 Perpustakaan Teknik UPI YAI JICTRA V14N3 February 2021 JICTRA3a-004 Perpustakaan FT UPI YAI JICTRA V14N3 February 2021 JICTRA3b-004 Perpustakaan FT UPI YAI JICTRA V14N3 February 2021 JICTRA_ITB_small.png.png 59044 2023-02-13 14:55:30 2023-02-13 14:55:30 machine generated