Detecting method and detecting device for survival of chick embryo

A liveness detection and chicken embryo technology, applied in the field of image processing, can solve problems such as the inability to meet the real-time detection speed requirements of industrial production lines, unsatisfactory red-shell egg detection results, and reduce computer processing speed, so as to avoid the ambiguity of feature matching , Robustness and rotation invariance are good, and the effect of improving quality

Inactive Publication Date: 2017-06-20
北京国自奇点机器人应用技术有限公司
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Problems solved by technology

Although the above-mentioned chicken embryo viability detection method has achieved good detection results, it still has many defects.
First of all, because the judgment basis of this method needs to deal with a large number of digital characteristic parameters, it will greatly reduce the computer processing speed
Secondly, this met

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  • Detecting method and detecting device for survival of chick embryo
  • Detecting method and detecting device for survival of chick embryo
  • Detecting method and detecting device for survival of chick embryo

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[0039] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0040] On the one hand, the present invention provides a method for detecting viability of chicken embryos, such as figure 1 shown, including:

[0041] S101: Acquiring images of chicken embryos.

[0042] In this step, the chicken embryo image is acquired from an image acquisition device.

[0043] S102: Extract the R, G, and B values ​​of each pixel in the chicken embryo image.

[0044] In this step, the chicken embryo image can be processed as a matrix, and the corresponding R, G, and B values ​​in the matrix can be extracted. The image matrix is ​​for example figure 2 , the left side is the chicken embryo image, and the right side is the image matrix.

[0045] S103: Based on the R, G, and B values, blood vessels and air cells are detected, and a se...

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Abstract

The invention discloses a detecting method and a detecting device for survival of a chick embryo and belongs to the field of image processing. The method comprises the following steps: acquiring a chick embryo image; extracting R, G and B values of all pixel points in the chick embryo image, and carrying out blood vessel and air chamber detection on the basis of the R, G and B values to obtain a series of characteristic values for characterizing the color of the chick embryo image, the blood vessels and the air chamber; classifying the series of characteristic values by using a pretrained classifier to obtain a detection result for the survival of the chick embryo. According to the detecting method and the detecting device disclosed by the invention, treatment speed, accuracy and robustness of survival detection of the chick embryo can be improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for detecting viability of chicken embryos. Background technique [0002] At present, most domestic bird flu vaccines, animal flu vaccines (such as swine flu, canine flu, etc.) and some human vaccines (such as influenza A, hepatitis B vaccine, etc.) are produced by the "chicken embryo method", that is, the way of cultivating viruses in embryonated eggs . Chicken embryos are the carrier of virus culture. Chicken embryos are strictly screened to consider whether they are fertilized, whether they are polluted, the number of days, and their size. After a period of cultivation, the virus is extracted from chicken embryos, and the vaccination vaccine is produced after inactivation and other processes. [0003] The survival of chicken embryos and eggs is closely related to the quality, safety and cost of vaccine production. The detection of the survival of chicken e...

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Application Information

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IPC IPC(8): G01N21/84G06K9/46G06K9/62
CPCG01N21/84G06V10/56G06F18/241
Inventor 王玉瑶
Owner 北京国自奇点机器人应用技术有限公司
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