Bacterium inhibition level identification method based on plate experiment and deep learning
A technology of deep learning and recognition methods, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of occupying the working time of operators and consuming energy, so as to reduce the difficulty of production, easy to operate, and reliable results Effect
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[0077] Such as Figure 6 As shown, the present embodiment is based on the plate experiment and the bacteriostatic degree identification method of deep learning, comprises the following steps:
[0078] S1. Determine the position of the drug-sensitive paper: preprocess the original image, determine the position of the drug-sensitive paper, facilitate the measurement of the size of the inhibition zone, and cut into a single image of the drug-sensitive paper as the input of the deep learning model;
[0079] The above-mentioned original image contains a whole plate, so it is necessary to find the position of each drug-sensitive paper in the plate in order to carry out subsequent corresponding identification of the inhibition zone and paper identification. The specific method can use image processing techniques such as Hough transform to find the circular area where the drug-sensitive paper is located. After the area is determined, it can be used to identify the size of the inhibiti...
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