Patents by Inventor Xinzhu FU

Xinzhu FU 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: 11688057
    Abstract: A method and system for matching image features is applied to mine machine vision. The method includes de-noising an image, performing super-pixel segmentation to obtain a plurality of image blocks, calculating the information entropy of each image block to obtain an image block with information entropy greater than a first preset threshold, extracting feature points of the image block, to obtain the feature point set of the image, using a wavelet method to describe the feature points in the feature point set to obtain a feature point descriptor set, and matching feature points in the feature point set with the feature points of a target image.
    Type: Grant
    Filed: April 13, 2021
    Date of Patent: June 27, 2023
    Assignee: CHINA UNIVERSITY OF MINING AND TECHNOLOGY
    Inventors: Qiqi Kou, Deqiang Cheng, Yuchen Wang, Haixiang Li, Liangliang Chen, Kai Zhao, Rui Gao, Xinzhu Fu
  • Publication number: 20220020134
    Abstract: A method and system for matching image features is applied to mine machine vision. The method includes de-noising an image, performing super-pixel segmentation to obtain a plurality of image blocks, calculating the information entropy of each image block to obtain an image block with information entropy greater than a first preset threshold, extracting feature points of the image block, to obtain the feature point set of the image, using a wavelet method to describe the feature points in the feature point set to obtain a feature point descriptor set, and matching feature points in the feature point set with the feature points of a target image.
    Type: Application
    Filed: April 13, 2021
    Publication date: January 20, 2022
    Inventors: Qiqi KOU, Deqiang CHENG, Yuchen WANG, Haixiang LI, Liangliang CHEN, Kai ZHAO, Rui GAO, Xinzhu FU