Immune complex fluorescence detection method based on image self-adaption division
An immune complex and fluorescence detection technology, applied in fluorescence/phosphorescence, material excitation analysis, etc., can solve the problems of inaccuracy, background reflection interference, inconsistency, etc., to improve accuracy and repeatability, and eliminate the randomness of morphology and inconsistency, the effect of increasing speed
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[0022] The present invention will be further elaborated below with reference to the accompanying drawings.
[0023] see figure 1 , which is a flowchart of an immune complex fluorescence detection method based on image adaptive segmentation of the present invention.
[0024] The first step S1 is to use the median filter for the fluorescent immune image, that is, to replace the value of the pixel with the gray value of the adjacent pixels of the pixel, and the output of the two-dimensional median filter is g(x,y)=med{ f(x-k,y-l), (k,l∈W)}.
[0025] Among them: f(x, y), g(x, y) are the original image and the processed image respectively. Set of coordinates for a rectangular subimage window of size m×n.
[0026] In the second step S2, the segmentation threshold is estimated according to the luminescence intensity curve of the immunofluorescence area, and then the image is binarized. The luminous intensity distribution curve of the fluorescent area is attached figure 2 shown. ...
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