Automatic classification method and system applied to anti-human globulin test images

The embodiment of the invention belongs to the field of blood immunological detection, and relates to an automatic classification method applied to anti-human globulin test images, which comprises the following steps: after anti-human globulin test detection is carried out, receiving a to-be-classified detection image corresponding to an anti-human globulin test detection result acquired by a camera device; performing enhancement operation on the to-be-classified detection image based on a histogram equalization method to obtain a to-be-detected enhanced image; inputting the to-be-detected enhanced image into a classification network model for image classification operation to obtain an image classification result; and outputting the image classification result. The invention also provides an automatic classification system applied to the anti-human globulin test image, computer equipment and a storage medium. The accuracy of the automatic classification detection result can be improved. 本申请实施例属于血液免疫学检验领域，涉及一