The invention provides a fertilization result prediction method and device for in-vitro fertilization and
electronic equipment, and relates to the technical field of assisted
reproduction. Comprising the following steps: performing oocytoplasm segmentation
processing on each frame of collected image, and determining an oocytoplasm
image area of each frame of image; dividing the oocytoplasm image region of each frame of image to obtain a plurality of oocytoplasm
proton image regions of each frame of image; according to the information of each pixel point in each
oocyte proton image region of each frame of image and a preset pixel coordinate offset range, generating average displacement information and average speed information of a particle swarm under each
oocyte proton image region of each frame of image, and further generating various motion
time sequence feature data corresponding to the target
oocyte; and predicting a fertilization result corresponding to the target oocyte according to the multiple motion
time sequence characteristic data corresponding to the target oocyte. The method improves the prediction accuracy of the fertilization result, and provides a judgment basis for early fertilization remediation of an embryologist.