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Related Experiment Video

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Improved FCM algorithm for fisheye image cluster analysis for tree height calculation.

Jiayin Song1, Yue Zhao1, Zhixiang Chi1

  • 1Department of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Mathematical Biosciences and Engineering : MBE
|November 24, 2021
PubMed
Summary

A new smartphone method uses a fisheye lens and improved fuzzy c-means algorithm for accurate, non-contact tree height measurement. This robust technique simplifies forestry research and image analysis.

Keywords:
FCMfisheye imageimage segmentationphotogrammetrytree height estimation

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Area of Science:

  • Forestry Science
  • Computer Vision
  • Image Processing

Background:

  • Accurate measurement of standing tree height is crucial for forestry research.
  • Traditional methods are often difficult, time-consuming, and affected by environmental factors.
  • Existing techniques for non-contact measurement require improvement in accuracy and stability.

Purpose of the Study:

  • To develop a robust, non-contact method for measuring standing tree height using a smartphone.
  • To enhance the fuzzy c-means algorithm for improved image segmentation and reduced computation time.
  • To ensure measurement accuracy and stability while simplifying the measurement process.

Main Methods:

  • Utilized a smartphone equipped with a fisheye lens for image acquisition.
  • Applied an improved fuzzy c-means algorithm for image segmentation of standing trees.
  • Integrated image segmentation with shooting distance to calculate tree height.
  • Employed a fisheye lens to capture the entire tree and reduce shooting distance.

Main Results:

  • The proposed method demonstrated high measurement accuracy, with errors ranging from -0.196m to 0.195m.
  • The highest relative error in tree height measurement was 3.05%, with an average relative error of 1.45%.
  • The method showed improved stability and performance across all experimental stages compared to previous research.

Conclusions:

  • The developed smartphone-based approach offers a novel, accurate, and stable method for non-contact tree height measurement.
  • This technique simplifies tree height assessment, enabling analysis of growth status and changes through permanent image preservation.
  • The improved fuzzy c-means algorithm enhances image segmentation, contributing to the overall effectiveness of the measurement system.