Patents by Inventor Fuqin DENG

Fuqin DENG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12272113
    Abstract: Disclosed are a semi-automatic image data labeling method, an electronic apparatus and a non-transitory computer-readable storage medium. The semi-automatic image data labeling method may include: displaying a to-be-labeled image, the to-be-labeled image comprising a selected area and an unselected area; acquiring a coordinate point of the unselected area and a first range value; executing a grabcut algorithm based on the coordinate point of the unselected area and the first range value acquired, and obtaining a binarized image divided by the grabcut algorithm; executing an edge tracking algorithm on the binarized image to acquire current edge coordinates; updating a local coordinate set based on the current edge coordinates acquired; updating the selected area of the to-be-labeled image based on the local coordinate set acquired.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: April 8, 2025
    Assignee: WUYI UNIVERSITY
    Inventors: Fuqin Deng, Yongshen Huang, Jianfeng Peng, Hua Feng, Yingying Chen, Weike Li
  • Patent number: 12183012
    Abstract: Disclosed are a high-precision semi-automatic image data labeling method, an electronic apparatus and a non-transitory computer-readable storage medium. The high-precision semi-automatic image data labeling method may include: displaying a to-be-labeled image, the to-be-labeled image comprising a selected area and an unselected area; acquiring a coordinate point of the unselected area and a first range value; executing a grabcut algorithm based on the coordinate point of the unselected area and the first range value acquired, and obtaining a binarized image divided by the grabcut algorithm; executing an edge tracking algorithm on the binarized image to acquire current edge coordinates; updating a local coordinate set based on the current edge coordinates acquired; updating the selected area of the to-be-labeled image based on the local coordinate set acquired.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: December 31, 2024
    Assignee: WUYI UNIVERSITY
    Inventors: Fuqin Deng, Yongshen Huang, Jianfeng Peng, Hua Feng, Yingying Chen, Weike Li
  • Publication number: 20220414892
    Abstract: Disclosed are a high-precision semi-automatic image data labeling method, an electronic apparatus and a non-transitory computer-readable storage medium. The high-precision semi-automatic image data labeling method may include: displaying a to-be-labeled image, the to-be-labeled image comprising a selected area and an unselected area; acquiring a coordinate point of the unselected area and a first range value; executing a grabcut algorithm based on the coordinate point of the unselected area and the first range value acquired, and obtaining a binarized image divided by the grabcut algorithm; executing an edge tracking algorithm on the binarized image to acquire current edge coordinates; updating a local coordinate set based on the current edge coordinates acquired; updating the selected area of the to-be-labeled image based on the local coordinate set acquired.
    Type: Application
    Filed: July 6, 2020
    Publication date: December 29, 2022
    Inventors: Fuqin DENG, Yongshen HUANG, Jianfeng PENG, Hua FENG, Yingying CHEN, Weike LI
  • Publication number: 20220375188
    Abstract: Disclosed are a semi-automatic image data labeling method, an electronic apparatus and a non-transitory computer-readable storage medium. The semi-automatic image data labeling method may include: displaying a to-be-labeled image, the to-be-labeled image comprising a selected area and an unselected area; acquiring a coordinate point of the unselected area and a first range value; executing a grabcut algorithm based on the coordinate point of the unselected area and the first range value acquired, and obtaining a binarized image divided by the grabcut algorithm; executing an edge tracking algorithm on the binarized image to acquire current edge coordinates; updating a local coordinate set based on the current edge coordinates acquired; updating the selected area of the to-be-labeled image based on the local coordinate set acquired.
    Type: Application
    Filed: July 6, 2020
    Publication date: November 24, 2022
    Inventors: Fuqin DENG, Yongshen HUANG, Jianfeng PENG, Hua FENG, Yingying CHEN, Weike LI