Sperm motion track reconstruction and classification method

Abstract

The invention provides a sperm motion track reconstruction and classification method, which comprises the following steps of performing background modeling to obtain a background image; reconstructingthe sperm motion track and counting the moving sperms to obtain the motion track of each numbered sperm and the total number of the moving sperms; classifying the motional sperms to obtain a motionalsperm classification trajectory diagram and the number of PR forward motional sperms and NP non-forward motional sperms; and counting the immobile sperms, namely marking the immobile sperms in the background binarized image and counting the immobile sperms. Compared with the prior art, the recognition accuracy is improved, and errors of human factors are reduced, and labor force is saved.

Description

technical field [0001] The invention relates to a detection technology in the medical field, in particular to a method for reconstructing and classifying sperm movement trajectories. Background technique [0002] At present, the judgment of sperm motility is realized by the following methods: [0003] 1. Manual microscopic examination method: Generally, doctors in hospitals use manual microscopic examination to roughly judge the sperm motility, and cannot accurately classify and count the sperm slides under the microscope; [0004] 2. Threshold segmentation method: The most common technique for tracking sperm movement is to segment sperm targets by threshold, but it is easily interfered by targets close to the sperm threshold, thus affecting the final judgment result. Due to the presence of impurities that are close to the gray threshold of the sperm head, when setting the threshold segmentation, it is easy to segment other impurities together and cause recognition errors. ...

AI Technical Summary

Problems solved by technology

[0003] 1. Manual microscopic examination method: Generally, doctors in hospitals use manual microscopic examination to roughly judge the sperm motility, and cannot accurately classify and count the sperm slides under the microscope;

[0004] 2. Threshold segmentation method: The most common technique for sperm movement tracking is to segment the sperm target by threshold, but it is easily interfered by targets close to the sperm threshold, thus affecting the final judgment result

Due to the existence of impurities similar to the gray threshold of the sperm head, when setting the threshold segmentation, it is easy to segment other impurities together and cause recognition errors

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