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

Claim 2:
3. The method for morphological identification, trajectory tracking, and velocity measurement of the high-concentration microbubbles according to claim 1, wherein step 3) further comprises:
3.1) performing a NOT operation on a pre-processed image of microbubbles obtained through the pre-processing of step 2), and performing distance transformation to obtain a new gray level image;
3.2) multiplying a matrix of the gray level image obtained through the distance transformation by a coefficient of −1, determining pixels with a local minimum gray level from the gray level image, marking a gray level of the pixels with the local minimum gray level as 1, and marking a gray level of pixels without the local minimum gray level as 0 to obtain a new binary image;
3.3) performing distance transformation on the binary image obtained in step 3.2) to obtain a new gray level image;
3.4) performing a watershed transformation on a matrix of the gray level image obtained through the distance transformation in step 3.3) by extracting pixel blocks in a region corresponding to all non-zero gray levels in the gray level image and labeling each corresponding microbubbles; and marking gray levels of pixels in the same bubble region to obtain a new gray level image;
3.5) converting the gray level image obtained in step 3.4) into a binary image, setting gray levels of all pixels in the bubble region to 0 and gray levels of pixels in a non-bubble region to 1 to prepare for subsequent extraction of a bubble segmentation boundary and obtain a new binary image; and performing a NOT operation on the new binary image to obtain a new matrix as a segmentation factor matrix; and
3.6) multiplying the segmentation factor matrix by the matrix corresponding to the pre-processed image obtained through the pre-processing in step 2) to obtain the pre-processed, segmented binary image.