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Fungus Bacteria Bag Density Detection System Based on Image Processing Technology

  • Chunyu Mao
  • Zhuojuan YangEmail author
  • Xirui Sun
  • Xiaodong Yang
Conference paper
  • 9 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1088)

Abstract

The density of Fungus Bacteria bag is the main factor for the growth of fungus. In order to accurately measure the density of Fungus Bacteria bag, the image processing technique was used to measure the density of the bacteria bag. The resolution of CCD is 1280 × 720. The median filtering is used to remove the inevitable noise in the image. The image binarization method is effective to segment the image. Finally, the four-neighbor corrosion method is used to extract the edge of the bacteria bag. The volume of the bacteria package is detected, and finally the density of the bacteria package is calculated based on the detected quality information. The absolute error of the test bag density accuracy is less than 0.015, which meets the engineering needs.

Keywords

Fungus bacteria bag Image processing CCD Median filtering Image binarization 

Notes

Acknowledgements

This study was supported by Jilin Province Science and Technology Development Plan Item (No. 20190302045GX), Jilin Provincial Department of Education (No. JJKH20180495KJ), Program for Innovative Research Team of Jilin Engineering Normal University.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Chunyu Mao
    • 1
  • Zhuojuan Yang
    • 1
    Email author
  • Xirui Sun
    • 1
  • Xiaodong Yang
    • 1
  1. 1.School of Mechanical Engineering Jilin EngineeringNormal UniversityChangchunPeople’s Republic of China

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