Aortic valve ultrasonic image segmentation method based on probability distribution and continuous maximum flow

The invention relates to an aortic valve ultrasonic image segmentation method based on probability distribution and continuous maximum flow. The method comprises the following steps: 1, acquiring medical ultrasonic image data of a human body aortic valve short axis, and extracting a five-frame prior image at equal intervals; 2, segmenting the five-frame prior image; 3, constructing a two-dimensional gray-distance histogram; 4, calculating to obtain a comprehensive probability estimation function through the two-dimensional gray-distance histogram; 5, respectively calculating a respective independent probability estimation function; 6, respectively calculating the pixel gray values which can respectively represent the foreground and background for the five-frame prior image; 7, solving an independent probability estimation map for the current image to be segmented; 8, respectively measuring the similarity for the foreground area and the manual segmentation result of the five-frame prior image; and 9, obtaining the segmentation result. Compared with the prior art, the aortic valve ultrasonic image segmentation method is stable, reliable, convenient to implement and suitable for actual clinical application.