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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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Hoofdauteurs: Xinyang Li, Jinghao Shi, Chuang Wang, Xin Yue, Weiqi Sun, Zonghui Zhuo, Kezhu Tan
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2026-05-01
Reeks:AgriEngineering
Onderwerpen:
orange fruit
instance segmentation
YOLO11n-Seg
ROI purity
visual front-end
boundary-guided feature fusion
Online toegang:https://www.mdpi.com/2624-7402/8/5/198
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