This inventor holds 2 USPTO granted patents. Top assignee: Wuyi University. Active years: 2024-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2025
Title: Weike Li: Innovator in Semi-Automatic Image Data Labeling
Introduction
Weike Li is a prominent inventor based in Jiangmen, China. He has made significant contributions to the field of image data labeling, particularly through his innovative methods and electronic apparatuses. With a total of 2 patents, his work is paving the way for advancements in semi-automatic image processing technologies.
Latest Patents
Weike Li's latest patents include a semi-automatic image data labeling method, electronic apparatus, and storage medium. This method involves displaying a to-be-labeled image that consists of a selected area and an unselected area. The process includes acquiring a coordinate point of the unselected area and a first range value, executing a grabcut algorithm, and obtaining a binarized image. Additionally, an edge tracking algorithm is executed on the binarized image to acquire current edge coordinates, which are then used to update the local coordinate set and the selected area of the to-be-labeled image. Another patent focuses on a high-precision semi-automatic image data labeling method, which follows a similar process to enhance accuracy in image labeling.
Career Highlights
Weike Li is affiliated with Wuyi University, where he continues to contribute to research and development in his field. His work is characterized by a commitment to improving image data labeling techniques, which are essential for various applications in technology and research.
Collaborations
Weike Li collaborates with notable colleagues such as Yongshen Huang and Jianfeng Peng. Their combined expertise fosters an environment of innovation and progress in their research endeavors.
Conclusion
Weike Li's contributions to semi-automatic image data labeling represent a significant advancement in the field. His innovative methods and dedication to research continue to influence the development of image processing technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile