Yingying Chen

Title: Innovations of Yingying Chen in Image Data Labeling

Introduction

Yingying Chen is a notable inventor based in Jiangmen, China. She has made significant contributions to the field of image data labeling, with a focus on developing semi-automatic methods that enhance efficiency and precision. With a total of 2 patents to her name, her work is paving the way for advancements in image processing technologies.

Latest Patents

Yingying Chen'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 based on these inputs, and obtaining a binarized image. Additionally, an edge tracking algorithm is applied to 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 significant patent is the high-precision semi-automatic image data labeling method, which follows a similar process to the first patent. This method also emphasizes the importance of accuracy in labeling images, ensuring that the selected areas are updated based on the latest edge coordinates acquired through the edge tracking algorithm.

Career Highlights

Yingying Chen is affiliated with Wuyi University, where she contributes to research and development in her field. Her innovative approaches to image data labeling have garnered attention and recognition within academic and professional circles.

Collaborations

Yingying Chen collaborates with esteemed colleagues such as Jianfeng Peng and Hua Feng, who contribute to her research endeavors and help advance the field of image processing.

Conclusion

Yingying Chen's work in developing semi-automatic image data labeling methods showcases her innovative spirit and dedication to enhancing image processing technologies. Her contributions are significant in the realm of data labeling, and her patents reflect her commitment to precision and efficiency in this evolving field.