Patent ID: 11935213
Assignee: SHANDONG NORMAL UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The laparoscopic image smoke removal method based on the generative adversarial network according to claim 1, wherein the smoke mask segmentation network and the smoke removal network are trained through a training set, and a method for acquiring the training set comprises:
labeling a laparoscopic surgery video data set to acquire a real smoke laparoscopic image and a real smoke-free laparoscopic image;
processing the real smoke-free laparoscopic image using image rendering software Blender to acquire a synthetic smoke laparoscopic image corresponding to the real smoke-free laparoscopic image; and
forming the training set by the real smoke laparoscopic image, the real smoke-free laparoscopic image, and the synthetic smoke laparoscopic image.