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- W2017675271 abstract "Nowadays,artificial recognition is widely used in the mushroom inspection system, however, it depends on subjective judgment of inspectors.Therefore,the testing personnel's experience, technology and other factors will affect the objectivity and accuracy of test results.Commodity inspection system need a high-speed, objective and accurate method for the on-line hair detection in the mushroom.On the basis of summary of domestic and foreign research, this paper studies the target identification and feature extraction techniques based on computer vision, conducts a feasibility study for the real-time hair detection system." @default.
- W2017675271 created "2016-06-24" @default.
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- W2017675271 date "2015-01-01" @default.
- W2017675271 modified "2023-09-27" @default.
- W2017675271 title "Hair Detection in Mushroom Based on Image Processing" @default.
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- W2017675271 doi "https://doi.org/10.4028/www.scientific.net/amm.713-715.402" @default.
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