Background image processing method of slices under microscope
A background image and microscopic technology, applied in the field of image processing, can solve the problems of high hardware cost, affecting the result of image background correction, practical limitations, etc., and achieve high processing speed, good processing effect and wide application range Effect
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Embodiment 1
[0023] Such as figure 1 As shown, the background image processing method of a slice under a microscope according to the present invention includes the following steps:
[0024] Step 100: Grab an original background image block in a field of view of the microscope.
[0025] After adjusting the eyepiece and objective lens of the microscope, aim the camera at a blank field of view, and the image observed under the eyepiece of the microscope is the original background image block in the one field of view of the microscope, and the background image block may If there is noise or dirty spots, grab the image block as the original background image block. Such as Figure 4 As shown, on the profile analysis curve on the left side of the figure, there are many noises or stains on the original background image block.
[0026] In step 200, a mathematical model is selected to fit the original background image block, and specific parameter values of the mathematical model are calculated accordin...
Embodiment 2
[0088] The difference between this embodiment and the first embodiment is that the first embodiment uses a Gaussian mathematical model to process the original background image, and this embodiment uses a polynomial nonlinear mathematical model to fit the original background image. The parts of this embodiment that are the same as the first embodiment will not be described in detail below.
[0089] For a monochrome grayscale camera, the third-order nonlinear model formula is:
[0090] G(x,y)=Ax 3 +Bx 2 y+Cxy 2 +Dy3+Ex 2 +Fxy+Gy 2 +Hx+Iy+J
[0091] Among them, G (x, y) is the gray value of each pixel of the two-bit image matrix, x is the horizontal position of the two-bit image matrix (the value range is the image horizontal position 1 to M), and y is the two-bit The vertical position of the image matrix (the value range is the image vertical position 1 to N), so the total number of pixels is MxN. A, B, C, D, E, F, G, H, I, J are the 10 parameters of the third-order nonlinear model f...
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