Liangliang Chen

Title: Innovations of Liangliang Chen in Mine Machine Vision

Introduction

Liangliang Chen is a notable inventor based in Xuzhou, China. He has made significant contributions to the field of mine machine vision through his innovative patent. His work focuses on enhancing the efficiency and accuracy of image feature matching, which is crucial for various applications in mining technology.

Latest Patents

Liangliang Chen holds a patent titled "Method and system for quickly matching image features applied to mine machine vision." This patent describes a comprehensive method that includes de-noising images, performing super-pixel segmentation, and calculating information entropy to identify relevant image blocks. The process further involves extracting feature points and using wavelet methods to create feature point descriptors, ultimately enabling effective matching of feature points with those in target images. He has 1 patent to his name.

Career Highlights

Liangliang Chen is affiliated with the China University of Mining and Technology, where he contributes to research and development in mining technologies. His academic background and practical experience have positioned him as a key figure in advancing machine vision applications in the mining sector.

Collaborations

Liangliang Chen has worked alongside talented colleagues, including Qiqi Kou and Kai Zhao. Their collaborative efforts have further enriched the research environment and fostered innovation in their respective fields.

Conclusion

Liangliang Chen's contributions to mine machine vision through his innovative patent demonstrate his commitment to advancing technology in the mining industry. His work not only enhances operational efficiency but also sets a foundation for future innovations in this critical field.