Chromosome division phase image quality evaluation method based on deep learning
A technology of image quality evaluation and deep learning, which is applied in neural learning methods, image enhancement, image analysis, etc., can solve the problems affecting the accuracy of chromosomal division phase image evaluation, being easily affected by the external environment, and long time periods, etc. Screening time, improving evaluation and selection efficiency, and improving efficiency
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[0088] The second step specifically includes the following steps:
[0089] a) Enlarge / shrink the chromosome image along the longest axis to bs pixels; scale up the other axis proportionally;
[0090] b) For the axis of the enlarged image less than bs pixels, fill with white pixels until the axis length is bs;
[0091] Before training the deep learning neural network, the image is rotated and flipped for data enhancement operations;
[0092] Realize the standardized processing of the input image, and then the subsequent network training is easier to converge.
[0093] Since the quality of the chromosome image is related to the dyeing quality of the sample and is seriously affected by the light, there are many impurities in the image, the contrast is poor, and the light and dark stripes in the chromosome make the gray level distribution inside the target uneven. Therefore, the chromosome image must be preprocessed to prepare for the later analysis and processing.
[0094] The...
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