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PointNeXt-DBSCAN: a hybrid point cloud deep learning framework for multi-stage cotton leaf instance segmentation.

Zeyu Lei1,2, Debin Zeng1,3, Liangfang Zheng1,3

  • 1College of Information Engineering, Tarim University, Alaer, China.

Frontiers in Plant Science
|February 16, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hybrid framework for precise cotton leaf segmentation from 3D point clouds. The method significantly improves accuracy in identifying individual leaves, aiding in automated plant phenotyping.

Keywords:
3D point cloudscotton plant leavesdeep learningmulti-stage growth monitoringpoint cloud segmentation

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Area of Science:

  • Agricultural Engineering
  • Computer Vision
  • Plant Science

Background:

  • Organ-level instance segmentation in cotton point clouds is challenging due to morphological variations and leaf occlusion.
  • Accurate leaf extraction is crucial for automated phenotyping and trait analysis.

Purpose of the Study:

  • To develop a high-precision framework for cotton leaf instance segmentation.
  • To address challenges in segmenting cotton plants across various growth stages.

Main Methods:

  • A hybrid framework combining PointNeXt for semantic segmentation and density-adaptive DBSCAN for instance segmentation was proposed.
  • A dataset of 1,065 cotton plants was constructed and augmented.
  • A two-stage pipeline was employed for semantic and instance segmentation.

Main Results:

  • Semantic segmentation achieved a mean Intersection over Union (mIoU) of 0.9846, a 7.2% improvement over PointNet++.
  • Instance segmentation achieved an Adjusted Rand Index (ARI) of 0.983, reducing over-segmentation by 63%.
  • The framework maintained <3% error for leaves <5 cm².

Conclusions:

  • The proposed hybrid framework offers reliable technical support for automated extraction of key cotton phenotypic traits.
  • This method enhances the accuracy of leaf area index and leaf inclination distribution measurements.
  • The framework effectively handles morphological variations and leaf occlusion in cotton plants.