公开(公告)号：US12033365B2

公开(公告)日：2024-07-09

申请号：US17562945

申请日：2021-12-27

Applicant: Tsinghua University

Inventor： Gao Huang ,  Shiji Song ,  Chaoqun Du

IPC: G06V10/26 ,  G06T7/11 ,  G06V10/77 ,  G06V10/774 ,  G06V10/776 ,  G16H30/40 ,  G16H50/20 ,  G06V10/82

CPC classification number: G06V10/26 ,  G06T7/11 ,  G06V10/7715 ,  G06V10/7747 ,  G06V10/776 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06V10/82 ,  G06V2201/031

Abstract: An image processing method and apparatus and a storage medium, wherein the method particularly includes firstly acquiring an image-to-be-trained sample and a label segmentation image corresponding to the image-to-be-trained sample; inputting the image-to-be-trained sample into an image segmentation model to be trained, obtaining a first image feature of a last one output layer in the image segmentation model and a second image feature of a second last output layer when the image-to-be-trained sample is being extracted by using the image segmentation model, outputting the corresponding segmented-image samples; based on the label segmentation image and the segmented-image samples, calculating the model loss function, optimizing the model parameter, and generating the image segmentation model that has been optimized; and inputting an acquired image to be processed into the image segmentation model that has been optimized, and generating segmented images corresponding to the image to be processed.