Corneal endothelial cell counter positioning and photographing method based on iris characteristics
A technology for counting corneal endothelium and cells, which is applied in the fields of instrumentation, calculation, image data processing, etc., and can solve problems such as labeling
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Embodiment 1
[0027] A corneal endothelial cell counter positioning camera method based on iris features, comprising the following steps:
[0028] S1: Acquire images: observe the dynamic image of the patient's eye window for alignment and focus to achieve the best state, then click the shooting button, and the image acquisition is completed;
[0029] S2: Image processing:
[0030] S201: Perform Gaussian smoothing on the image, perform grayscale processing on the image, and transform the generated grayscale image into a binary image;
[0031] S202: Perform morphological transformation on the binarized image, and fill holes in the binarized result image to obtain a preset photo;
[0032] S203: The preset photo resolution is A*A, that is, square, and the sequential sampling numbers of the pictures are N1, N2, ... and so on;
[0033] S204: Take the photo N1, and take the center point in the photo, label: N11, (the first cell collection point is marked as N111);
[0034] S205: Since blood ves...
Embodiment 2
[0041] A corneal endothelial cell counter positioning camera method based on iris features, comprising the following steps:
[0042] S1: Acquire images: observe the dynamic image of the patient's eye window to align and focus to achieve the best state, then click the shooting button, the image acquisition is completed, and the shooting sequence is to shoot the right eye first and then the left eye;
[0043] S2: Image processing:
[0044] S201: Perform Gaussian smoothing on the image, perform grayscale processing on the image, and transform the generated grayscale image into a binary image by using the OTSU algorithm;
[0045] S202: Perform morphological transformation on the binarized image, the morphological transformation is erosion and expansion, the structural element used is 3×3, and use the flood filling method to fill the connected areas in the binarized result image, and then cut and extend image and get a preset photo;
[0046] S203: The preset photo resolution is A...
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