Ultrasonic automatic optimization method using computer vision positioning
A computer vision and automatic optimization technology, applied in the field of computer vision, can solve the problems of high operator training cost, long time-consuming diagnosis, complicated operation of diagnostic equipment, etc., and achieve the effect of simple system structure, convenient diagnosis and reduced diagnosis time
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Embodiment 1
[0038] Such as figure 1 As shown, an ultrasonic automatic optimization method using computer vision positioning includes the following steps:
[0039] S1: Use the camera of the ultrasound image acquisition system to collect the human body image data and the coordinate data of the ultrasound probe, and transmit them and the coordinate data of the examination table to the host computer;
[0040] S2: Use the host computer to analyze the human body picture data, obtain the human body shape data, and extract the corresponding human body model from the database of the host computer according to it, and optimize it;
[0041] The host uses a correction algorithm to optimize the extracted human body model, and the correction algorithm has two functions:
[0042] When the screened mannequin differs greatly from the actual outline, for example, when the subject is a very tall crowd such as a basketball player, select the closest mannequin in the mannequin database in the host, and scale...
Embodiment 2
[0062] Such as figure 1 As shown, an ultrasonic automatic optimization method using computer vision positioning includes the following steps:
[0063] S1: Use the camera of the ultrasound image acquisition system to collect the human body image data and the coordinate data of the ultrasound probe, and transmit them and the coordinate data of the examination table to the host computer;
[0064] S2: Use the host computer to analyze the human body picture data, obtain the human body shape data, and extract the corresponding human body model from the database of the host computer according to it, and optimize it;
[0065] The host uses a correction algorithm to optimize the extracted human body model, and the correction algorithm has two functions:
[0066] When the screened mannequin differs greatly from the actual outline, for example, when the subject is a very tall crowd such as a basketball player, select the closest mannequin in the mannequin database in the host, and scale...
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