Small target bacterial colony detection processing method and device, electronic equipment and medium
A target colony and processing method technology, applied in the computer field, can solve problems such as inaccurate identification and small colony radius
Active Publication Date: 2020-07-14
BEIJING JUNLIKANG BIOTECHNOLOGY CO LTD
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Problems solved by technology
However, the colony radius of the colony in the early stage of growth is small, and the existing technology cannot accurately identify it
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[0047] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0048] figure 1 A schematic flow diagram of a detection and processing method for a small target colony provided in this embodiment is shown, including:
[0049] S101. Input the image of the colony to be detected into the target neural network model, and obtain the detection result of the small target colony in the image of the colony to be detected output by the target neural network model;
[0050] Wherein, the image of the colony to be detected is an image of a colony that needs to be detected for a small target colony.
[0051] The target neural network model is trained according to the predicted virtual sample of the colony image and the actual sample of the co...
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The embodiment of the invention discloses a small target bacterial colony detection processing method and device, electronic equipment and a medium, and the method comprises: inputting a to-be-detected bacterial colony image into a target neural network model, and obtaining a detection and classification recognition result, outputted by the target neural network model, of a small target bacterialcolony in the to-be-detected bacterial colony image, wherein the target neural network model is obtained by training a bacterial colony image prediction virtual sample and a bacterial colony image actual labeling sample, and the small target bacterial colonies are bacterial colonies of which the radius is greater than a preset value in the to-be-detected bacterial colony image. A colony image prediction virtual sample and a colony image actual sample are trained to obtain a target neural network model, the to-be-detected bacterial colony image is detected and classified through the target neural network model, the position, category information and related attributes of the small target bacterial colony in the to-be-detected bacterial colony image can be accurately obtained, the bacterialcolony is continuously monitored in the bacterial colony growth process, the growth process is subjected to image recording, and the method is used for related research work of bacterial colony analysis.
Description
technical field [0001] The invention relates to the field of computer technology, in particular to a method, device, electronic equipment and medium for detecting and processing small target colonies. Background technique [0002] In the microbiological inspection of food, medicine, cosmetics and feed, etc., the total number of colonies, coliforms, Escherichia coli, lactic acid bacteria and other items are involved, and a large number of colony analysis and counting are required when counting the results. A colony refers to a single group of bacteria visible to the naked eye that grows on the surface of a solid medium after the bacteria are inoculated on the surface of the solid medium. Counting the number and type of colonies generated after target sampling is a basic and important work in related fields. The colony image refers to the image formed by shooting the colony with an industrial camera after the colony is cultured on the medium, so as to facilitate the statistic...
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IPC IPC(8): G06N3/04G06N3/08G06K9/46
CPCG06N3/08G06V10/56G06V10/44G06N3/045Y02P90/30
Inventor 厉刚
Owner BEIJING JUNLIKANG BIOTECHNOLOGY CO LTD