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Automated Counting of Sex-Pheromone Attracted Insects Using Trapped Images

  • Wenyong LiEmail author
  • Meixiang Chen
  • Ming Li
  • Chuanheng Sun
  • Lin Wang
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 545)

Abstract

In this paper, an automatic segmentation and counting method for insect monitoring in orchard was proposed. The method based on image processing consisted of: (1) touching insect detection, (2) local segmentation points search using boundary tracking and morphological thinning operation, recursively, (3) segmentation lines implementation using the shortest distance idea. Algorithm performance was evaluated in terms of segmentation ratio and segmentation accuracy. Compared with the watershed method, the proposed method had improvement in evaluation criteria. Its average segmentation ratio was 1.03 and average segmentation accuracy was 96.7%, respectively. The results demonstrate the proposed method is an alternative solution for insect monitoring in integrated pest management.

Keywords

Image segmentation Boundary tracking Watershed Insect counting Integrated pest management 

Notes

Acknowledgements

This research was supported by Beijing Natural Science Foundation (6164034) and National Natural Science Foundation of China (61601034). All of the mentioned support and assistance are gratefully acknowledged.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Wenyong Li
    • 1
    • 2
    Email author
  • Meixiang Chen
    • 2
  • Ming Li
    • 2
  • Chuanheng Sun
    • 2
  • Lin Wang
    • 3
  1. 1.Intelligent System DepartmentNational Engineering Research Center of Information Technology in AgricultureBeijingChina
  2. 2.National Engineering Research Center for Information Technology in AgricultureBeijingChina
  3. 3.School of Electronic Information and AutomationTianjin University of Science and TechnologyTianjinChina

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