Sulfur-smoked dried ginger identification method based on image brightness information and voting mechanism
A voting mechanism and image brightness technology, applied in neural learning methods, character and pattern recognition, computer parts, etc., can solve the problem of inconvenient identification of sulfur-free dried ginger and sulfur-containing dried ginger, and achieve convenient cost and wide application. Foreground effect
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[0032] A method for identifying sulfur-fumed dried ginger based on image brightness information and voting mechanism, other comprising the following steps:
[0033] 1. Collection of medicinal material samples: 123 batches of dried ginger with different sulfur content were purchased from the market, and different batches of dried ginger were measured using a sulfur dioxide rapid detection kit. According to the different degrees of sulfur fumigation of different batches of dried ginger, it can be divided into three categories, namely, low-sulfur dried ginger, high-sulfur dried ginger, and sulfur-free dried ginger. Among them, there are 27 batches of low-sulfur dried ginger, 66 batches of high-sulfur dried ginger, and 30 batches of sulfur-free dried ginger. The three classification criteria are that the sulfur dioxide content of low-sulfur dried ginger is 50-150 mg / kg, the sulfur dioxide content of high-sulfur dried ginger is greater than 150 mg / kg, and the sulfur dioxide content...
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