Abstract
With the improvement of people’s living standards, people pay more and more attention to the harm of fungi. Inspired by the smartphone-based aflatoxin rapid detection system proposed by Zhang Liyong, this paper improves the method to a certain extent. First, the average value of the blue component was added to Zhang’s dynamic method to reduce the effect of excess blue component caused by UV light exposure, which was found to mark the white light in the picture. Therefore, the average value of red is introduced to exclude the influence of white light. When this method is applied to single chip microcomputer, it is found that the image produced by single chip microcomputer has great noise. Therefore, median filtering is added to eliminate noise, so as to achieve the purpose of single chip identification.
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Wang, C., Liu, H. (2023). Research on Detection of Fungus Image Based on Graying. In: Patnaik, S., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-99-1145-5_8
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DOI: https://doi.org/10.1007/978-981-99-1145-5_8
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