Microbe quantity estimation method based on image processing
A technology of microbial count and image processing, applied in computing, computer parts, instruments, etc., can solve the problems of complicated operation procedures, danger to experimenters, and cumbersome operation.
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[0068] Example 1: In this example, two photos of the same petri dish taken at different times ( Figure 3-1 , Figure 3-2 ) Perform bacteria statistics, the specific process is as follows.
[0069] 1: Read the original image I and perform the gray-scale processing to obtain the gray-scale image I 0 ;
[0070] 2: Remove the part outside the edge of the petri dish in the image: find the radius and center of the petri dish contour circle, set the gray scale of the edge contour part to 0, and set the processed image to I 1 ;
[0071] 3: Use non-local mean filtering algorithm to 1 Perform denoising processing, and set the denoised image as I 2 . The specific steps are:
[0072] (1) Assuming that the currently processed pixel is i, set Ω i It is a search window centered on pixel i, with a size of 5×5. Let a pixel in the search area be j, N i , N j Denote the neighborhood window centered on i and j, with a size of 2×2. N i The gray value vector composed of inner pixels is expressed as v(N ...
Example Embodiment
[0113] Example 2: In this example, two photos of the same Petri dish taken at different times ( Figure 3-3 , Figure 3-4 ) Perform bacteria statistics, the specific process is as follows.
[0114] 1: Read the original image I and perform the gray-scale processing to obtain the gray-scale image I 0 ;
[0115] 2: Remove the part outside the edge of the petri dish in the image: find the radius and center of the petri dish contour circle, set the gray scale of the edge contour part to 0, and set the processed image to I 1 ;
[0116] 3: Use non-local mean filtering algorithm to 1 Perform denoising processing, and set the denoised image as I 2 . The specific steps are:
[0117] (1) Assuming that the currently processed pixel is i, set Ω i It is a search window centered on pixel i, with a size of 5×5. Let a pixel in the search area be j, N i , N j Denote the neighborhood window centered on i and j, with a size of 2×2. N i The gray value vector composed of inner pixels is expressed as v(N...
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