Patent ID: 11875515
Assignee: ZHEJIANG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method for morphological identification, trajectory tracking, and velocity measurement of the high-concentration microbubbles according to claim 4, wherein performing ellipse fitting on the boundary of each microbubble, determining the ellipse that best conforms to the boundary of the microbubble, recording major and minor axes of the ellipse, and determining mass centroid information of step 4), further comprises:
performing ellipse fitting on the boundary of each microbubble in the pre-processed, segmented binary image of a microbubble in two-dimensions (2D), and setting horizontal and vertical coordinates of a pixel on a fitted elliptic boundary as x and y respectively, in which coordinates of pixels on an elliptic boundary of the microbubble satisfy an elliptic equation if the ellipse matches the boundary of the microbubble;
when ellipse fitting is performed on the boundary of the pre-processed, segmented binary image of the microbubble in 2D, the coordinates of the pixel on the elliptic boundary satisfies a condition that a sum s of squares of x/a and y/b obeys a chi-square distribution; a confidence interval P(s<λ) is given in a cumulative chi-square distribution, and λ is a constant; and an appropriates value of an elliptic boundary for fitting the pixel of the microbubble is determined, such that the fitted elliptic boundary most accurately reflects morphology of the microbubble;
a semi-major axis and semi-minor axis of the elliptic equation are related to standard deviations of x and y coordinate sets in respective directions; and the standard deviations and the s value are determined to obtain semi-major axis a and semi-minor axis b of the ellipse; and
outputting a label matrix comprising a pixel area and mass centroid of each microbubble after obtaining an independent pixel region of the microbubble, in which the mass centroid of each microbubble is recorded by the label matrix.