This inventor holds 1 USPTO granted patent. Top assignees: Guangzhou Cheng'an Testing Ltd. of Highway & Bridge, Guangzhou Guangjian Construction Engineering Testing Center Co., Ltd., Guangzhou University. Active years: 2023.
Company Filing History:
1 out of 2 
1 out of 1 
1 out of 43 Years Active: 2023
Title: Yongmin Yang: Pioneer in Crack Segmentation Technology
Introduction
Yongmin Yang, an innovative inventor based in Guangzhou, China, has made notable contributions to the field of image processing, particularly in the area of crack segmentation using robot vision. His unique approach combines advanced algorithms with traditional image enhancement methods, showcasing his dedication to refining technology for practical applications.
Latest Patents
Yongmin Yang holds a patent for a "Global and Local Binary Pattern Image Crack Segmentation Method Based on Robot Vision." This method enhances the contrast of original images to yield a saliency map, effectively segmenting cracks with improved accuracy. The technique also incorporates logarithmic transformations, ensuring that critical information in dark areas of cracks is not lost during processing. The method's integration of rotation-invariant texture features and global information enhances segmentation performance, allowing for effective operation even under challenging conditions like uneven lighting and complex backgrounds.
Career Highlights
Throughout his career, Yongmin Yang has been affiliated with prominent educational institutions, including Guangzhou University and Zhongkai University of Agriculture Engineering. His work within these institutions has positioned him as a critical figure in advancing research and development in imaging technology. His extensive experience in academic environments has facilitated his exploration of practical and theoretical aspects of his inventions.
Collaborations
Yongmin has collaborated with esteemed colleagues such as Jiyang Fu and Airong Liu. Together, they have contributed to the enhancement of image processing technologies, underscoring the importance of teamwork and shared knowledge in the field of research and innovation.
Conclusion
Yongmin Yang stands out as a significant contributor to the realm of crack segmentation technologies. His innovative methods not only improve the accuracy of image processing but also pave the way for advancements in online detection methods. As technology continues to evolve, inventors like Yang are crucial in bridging the gap between engineering challenges and practical solutions.