An Improved YOLO11n-Seg Method for RGB-Based Orange Fruit Instance Segmentation Toward Clean ROI Extraction for HSI-Assisted Observation

Accurate instance segmentation of oranges in complex orchard environments is crucial for obtaining clean regions of interest (ROIs). Coarse region extraction may include non-target pixels from leaves, shadows, background, and adjacent fruits, thereby increasing boundary pixel mixing in subsequent hy...

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Detalles Bibliográficos

Autores principales:	Xinyang Li, Jinghao Shi, Chuang Wang, Xin Yue, Weiqi Sun, Zonghui Zhuo, Kezhu Tan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-05-01
Colección:	AgriEngineering
Materias:	orange fruit instance segmentation YOLO11n-Seg ROI purity visual front-end boundary-guided feature fusion
Acceso en línea:	https://www.mdpi.com/2624-7402/8/5/198
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