Sperm motility performance detection method

Abstract

The invention discloses a sperm motility performance detection method. According to the method, accurate multi-target path recognition is realized through dynamic and static target separation methods, so that the detection result is greatly improved. The method comprises steps as follows: 1), sperm motility images are collected; 2), all collected images are preprocessed; 3), dynamic and static target separation is performed through image stacking, averaging and differing; 4), image segmentation: images finishing dynamic and static target separation are subjected to binaryzation and impurity filtering, and actual empirical values are selected as input for impurity filtering; 5), target tracking: a radius r of neighborhood is set, the neighborhood is taken as an inquiry range, sperm targets falling in the neighborhood are searched, different processing is performed according to different search results, and trajectory tracking of the target is finally realized; and 6), parameters are calculated.

Description

technical field [0001] The invention relates to a method for detecting sperm motility performance. Background technique [0002] The usual detection of sperm motility is to directly observe the extracted semen with a microscope, and then detect indicators such as sperm density and motility according to the observation results. Conventional detection methods are greatly affected by conditions such as the detection environment, the experience and level of inspectors, and are time-consuming, laborious, and inaccurate, which can easily cause errors in detection results and bring difficulties to clinical treatment and scientific research. Computer-aided sperm motility analysis can make up for the inability of medical workers to detect sperm motility. More objective and accurate test results can be obtained through automatic processing methods, which not only improves the detection efficiency and accuracy, but also makes sperm quality analysis more comprehensive. This topic is ma...

AI Technical Summary

Problems solved by technology

[0004] 1. The impact of the vertical movement of sperm caused by the collection method on the target detection;

[0005] 2. The problem of how to remove impurities of the same size as sperm in semen;

Therefore, a unified comparison of the test results of different systems cannot be achieved

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