A Machine Learning-Based Automatic Focusing Method for Optical Microscope
An optical microscope and machine learning technology, applied in the field of medical image processing, can solve the problems of slow speed and poor versatility, and achieve the effects of avoiding return error, improving focusing speed, and ensuring focusing accuracy
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[0113] In order to make the objectives, technical solutions and beneficial technical effects of the present invention clearer, the present invention will be further described in detail below in conjunction with examples. It should be understood that the embodiments described in this specification are only for explaining the present invention, not for limiting the present invention, and the specific parameter settings of the embodiments can be selected according to local conditions and have no substantial impact on the results.
[0114] Step 1: If figure 2 As shown, 200 raw images were collected along the Z-axis of the optical microscope I i (c, r), and converted to a grayscale image f i (c, r), where i = {1, 2, ..., p};
[0115] Step 2: Repeat step 1, each time as a group (such as figure 2 shown), collecting 20 sets of data and a total of N pictures;
[0116] Step 3: Calculate 48 original features for each image and 96 combined features and respectively represent the...
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