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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

Pending Publication Date: 2022-06-03
NANJING UNIVERSITY OF TRADITIONAL CHINESE MEDICINE
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Problems solved by technology

But existing methods require expensive equipment to gather information
Therefore, it is not convenient to use existing methods to identify sulfur-free dried ginger and sulfur-containing dried ginger

Method used

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  • Sulfur-smoked dried ginger identification method based on image brightness information and voting mechanism
  • Sulfur-smoked dried ginger identification method based on image brightness information and voting mechanism
  • Sulfur-smoked dried ginger identification method based on image brightness information and voting mechanism

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Embodiment 1

[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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Abstract

The invention discloses a smoked dried ginger identification method based on image brightness information and a voting mechanism. The smoked dried ginger identification method comprises the following steps: (1) sample preparation and image data acquisition; (2) extracting image features; (3) establishing a stoved dried ginger identification model by using a support vector machine (SVM), a BP neural network (BPNN) and a random forest algorithm (RF) respectively; and (4) establishing a set of recognition model based on a voting mechanism according to results of the three models. The smoked dried ginger identification method based on the image brightness information and the voting mechanism is adopted for the first time, the dried ginger smoked degree can be accurately predicted, and the method has the advantages of being rapid, free of damage, high in identification accuracy and high in stability.

Description

technical field [0001] The invention belongs to the technical field of medicinal material detection, and particularly relates to a method for identifying sulfur-fumed dried ginger based on image brightness information and a voting mechanism. Background technique [0002] Dried ginger (Zingiber officinale Roscoe) is the dried rhizome of the perennial herb Ginger belonging to the genus Zingiberaceae. There is a huge market demand for dried ginger, and huge populations in the world, especially in Asia, Africa and Europe, have the habit of using dried ginger (including fresh ginger) on a daily basis. The use of sulfur fumigation of ginger can play the role of antiseptic, anti-mildew, anti-moth-eaten, and is conducive to drying and color enhancement. Although sulfur fumigation has a positive effect on the processing and storage of Chinese medicinal materials, modern research has proved that the chemical properties of Chinese medicinal materials after sulfur fumigation are change...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06V10/764G06V10/774G06V10/82
CPCG06N3/08G06N3/045G06F18/2411G06F18/214
Inventor 王天舒严辉何佳旺王子怡杨芮杨曦晨胡孔法胡晨骏章晋段金廒
Owner NANJING UNIVERSITY OF TRADITIONAL CHINESE MEDICINE