Estimation Method of Microorganism Quantity Based on Image Processing
A technology of microbial quantity and image processing, which is applied in computing, computer components, instruments, etc., can solve the problems of experimenter's danger, cumbersome operation, and difficulty in rapid computer realization.
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example 1
[0068] Example 1: In this example, two photos of the same petri dish were taken at different times ( Figure 3-1 , Figure 3-2 ) for bacterial statistics, the specific process is as follows.
[0069] 1: Read the original image I, and perform grayscale processing to obtain the grayscale 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 contour circle of the petri dish, set the gray level of the edge contour to 0, and set the processed image to I 1 ;
[0071] 3: Use non-local mean filtering algorithm to I 1 Carry out denoising processing, set the image after denoising as I 2 . The specific steps are:
[0072] (1) Suppose the currently processed pixel is i, set Ω i is a search window centered on pixel i with a size of 5×5. Let a certain pixel in the search area be j, N i , N j Represent the neighborhood windows centered on i and j respectively, with a size of 2×2. N i The gray value vector forme...
example 2
[0113] Example 2: In this example, two photos of the same petri dish were taken at different times ( Figure 3-3 , Figure 3-4 ) for bacterial statistics, the specific process is as follows.
[0114] 1: Read the original image I, and perform grayscale processing to obtain the grayscale 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 contour circle of the petri dish, set the gray level of the edge contour to 0, and set the processed image to I 1 ;
[0116] 3: Use non-local mean filtering algorithm to I 1 Carry out denoising processing, set the image after denoising as I 2 . The specific steps are:
[0117] (1) Suppose the currently processed pixel is i, set Ω i is a search window centered on pixel i with a size of 5×5. Let a certain pixel in the search area be j, N i , N j Represent the neighborhood windows centered on i and j respectively, with a size of 2×2. N i The gray value vector forme...
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