Counting Brown Planthoppers in Light-Trap Images Using Morphological Operations

Authors

  • Nghi Cong Tran Can Tho University
  • An Cong Tran Can Tho University
  • Nguyen Huu Van Long Can Tho University
  • Hiep Xuan Huynh Can Tho University

DOI:

https://doi.org/10.4108/eai.13-7-2018.159352

Keywords:

brown plant hopper, morphological operations, overlapped BHPs, sequential region labeling

Abstract

As brown plant hopper (BPH) is one of the most dangerous kinds of insect for rice plant, in recent years, there has been increased concern in counting them in light trap images to control their spread in order to reduce their damage on rice plant. This paper proposes an approach to counting BPHs in light trap images based on morphological operations. By applying these operations appropriately, combined with some noise removal techniques based on color, BPHs in the light trap images can be identified. In addition, it is common that the BPHs in the light-trap images are overlapped due to the layout of the light trap. Therefore, an approach to counting the overlapped BPHs based on their size is also introduced while the sequential region labeling algorithm is used to count the number of the separate BPHs. The experimental results show that our proposed approach is suited to identifying and counting the BPHs in images which are overlapped.

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Published

26-06-2019

How to Cite

1.
Cong Tran N, Cong Tran A, Huu Van Long N, Xuan Huynh H. Counting Brown Planthoppers in Light-Trap Images Using Morphological Operations. EAI Endorsed Trans Context Aware Syst App [Internet]. 2019 Jun. 26 [cited 2024 Feb. 22];6(17):e2. Available from: https://publications.eai.eu/index.php/casa/article/view/1900

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