Background image processing method of slices under microscope
A background image and microscope technology, applied in the field of image processing, can solve the problems of affecting the result of image background correction, high hardware cost, and practical limitations, and achieve good processing effect, high processing speed, and wide application range Effect
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Embodiment 1
[0023] Such as figure 1 As shown, a background image processing method of a section under a microscope according to the present invention comprises the following steps:
[0024] Step 100, capturing an original background image block under 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, the image observed under the eyepiece of the microscope is the original background image block under the field of view of the microscope, and the background image block may be There are noises or dirty points, grab this 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] Step 200, selecting a mathematical model to fit the above-mentioned original background image block, and calculating specific parameter values of the ma...
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, while this embodiment uses a polynomial nonlinear mathematical model to fit the original background image. The parts of this embodiment that are the same as those of Embodiment 1 will not be repeated 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 binary image matrix, x is the horizontal position of the binary image matrix (the value range is image horizontal position 1 to M), and y is the binary image matrix The vertical position of the image matrix (the value ranges from 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 10 parameters of the 3rd degree nonlinear ...
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