Kansong Chen

Title: Innovations of Kansong Chen

Introduction

Kansong Chen is a notable inventor based in Wuhan, China. He has made significant contributions to the field of image processing and target tracking, holding two patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is a "Surface defect detection method, system, equipment, and terminal thereof." This invention integrates various image processing methods, utilizing a Local Binary Pattern (LBP) texture feature extraction algorithm for pre-processing. It also employs a SIFT feature-point matching algorithm to identify key features in images, allowing for detailed defect detection with minimal user intervention. The system is designed to be user-friendly, requiring only a computer, camera, and light source, which makes it highly mobile and cost-effective.

Another significant patent is the "Target tracking method, system, device, and storage medium." This invention focuses on determining a target area based on training samples and extracting features using a combination of histogram of oriented gradient (HOG), color naming (CN), and HSV color space. The method introduces advanced algorithms to enhance the efficiency of target tracking in video observations, iterating until a trained model is established.

Career Highlights

Kansong Chen is affiliated with Hubei University, where he continues to contribute to research and development in his field. His work emphasizes practical applications of technology, aiming to simplify complex processes and reduce training costs for users.

Collaborations

He collaborates with colleagues such as Zhihao Xi and Zuyang Liu, who share his commitment to advancing technology through innovative solutions.

Conclusion

Kansong Chen's contributions to the fields of image processing and target tracking demonstrate his dedication to innovation and practical application. His patents reflect a deep understanding of technology and its potential to improve efficiency and accessibility.