Deqiang Cheng

Title: Innovations by Deqiang Cheng in Machine Vision and Object Tracking

Introduction

Deqiang Cheng is a notable inventor based in Xuzhou, China. He has made significant contributions to the fields of machine vision and object tracking, holding a total of 3 patents. His work focuses on developing methods and systems that enhance the efficiency and accuracy of image processing technologies.

Latest Patents

One of his latest patents is titled "Method and system for quickly matching image features applied to mine machine vision." This innovative method involves de-noising images, performing super-pixel segmentation, and calculating the information entropy of image blocks. The process culminates in extracting feature points and matching them with target images, thereby improving the functionality of mine machine vision systems.

Another significant patent is "Method and system for tracking moving objects based on optical flow method." This method provides a comprehensive approach to tracking moving targets by utilizing video images and implementing pre-processing techniques. It includes edge-detection and optical flow methods to extract target information, ensuring accurate and stable tracking over extended periods.

Career Highlights

Deqiang Cheng is affiliated with the China University of Mining and Technology, where he applies his expertise in machine vision and object tracking. His academic and research endeavors have positioned him as a key figure in advancing these technologies.

Collaborations

He has collaborated with notable colleagues such as Hai Liu and Leida Li, contributing to the development of innovative solutions in his field.

Conclusion

Deqiang Cheng's contributions to machine vision and object tracking demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of image processing technologies, paving the way for advancements in various applications.