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Microscopic Image Recognition Method for Determining Added Drugs in Animal Feed

A technology for microscopic images and animal feeds, applied in the field of image recognition, can solve the problems of high cost, complicated operation methods, and high requirements for operators, and achieve the effect of easy on-site analysis and detection and low analysis cost.

Inactive Publication Date: 2016-06-08
GUANGDONG PHARMA UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the above-mentioned methods are also used to test the addition of prohibited drugs in animal feed, but these methods generally have relatively high requirements for operators, the operation method is complicated and the operation cycle is long, or large and expensive instruments are required for analysis, and the cost is high. It is not conducive to the rapid analysis of large-scale samples

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  • Microscopic Image Recognition Method for Determining Added Drugs in Animal Feed
  • Microscopic Image Recognition Method for Determining Added Drugs in Animal Feed
  • Microscopic Image Recognition Method for Determining Added Drugs in Animal Feed

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specific Embodiment

[0086] A specific embodiment of the present invention is as follows:

[0087] First, get the trained neural network according to the following steps:

[0088] S01. Collect microscopic images of different drug standard products, and perform standardized processing such as unified image format or resolution on the obtained microscopic images;

[0089] S02. Preprocessing the standardized microscopic image, specifically:

[0090] For the normalized microscopic image, after extracting the grayscale channel value and the hue channel value, the grayscale channel value is converted into two grayscale data, and the hue channel value is normalized at the same time;

[0091] Among them, the two grayscale data include binarized grayscale data and N-order grayscale data, and the value range of N is 4 to 256. Two grayscale data are obtained here, that is, microscopic The binarized image of the image and the N-level grayscale image;

[0092] The grayscale channel value is:

[0093] Gray=...

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Abstract

The invention discloses a microscopic image recognition method for judging the medicine added in animal feed, comprising: collecting the microscopic image of the sample to be tested, and standardizing the obtained microscopic image; The micro image is preprocessed; the feature extraction is performed on the preprocessed micro image; the trained neural network is used to identify and judge the features of the extracted micro image. The invention has lower requirements for operators, and has low analysis cost, is convenient for large-scale on-site analysis and detection, and is simple, convenient and fast. As a microscopic image recognition method with excellent performance for judging the medicine added in animal feed, the invention can be widely used in feed detection.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a microscopic image recognition method for judging drugs added in animal feed. Background technique [0002] The traditional drug detection method is generally through sample pretreatment first, and then further analysis and detection by chemical or instrumental analysis methods, such as gravimetric analysis and volumetric analysis in chemical analysis methods; UV-visible light spectroscopy in optical analysis methods Photometry, infrared spectrophotometry, near-infrared spectroscopy, fluorescence spectrophotometry, atomic absorption spectrophotometry, organic mass spectrometry or optical rotation and refraction analysis; through thin layer chromatography, gas chromatography, High-performance liquid chromatography or electrophoresis is used to test drugs through potentiometric analysis or conductivity analysis in electrochemical analysis. At present, the above-mentioned methods ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/66G06K9/46
Inventor 余晓林海丹翟海云
Owner GUANGDONG PHARMA UNIV