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.
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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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Mao, C., Yang, Z., Sun, X., Yang, X. (2020). Fungus Bacteria Bag Density Detection System Based on Image Processing Technology. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_136
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DOI: https://doi.org/10.1007/978-981-15-1468-5_136
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