Location History:
- Taipei, TW (2012)
- Hsinchu, TW (2013)
Company Filing History:
2 out of 4,301 
1 out of 233 Years Active: 2012-2013
Title: Ping-Chang Lee: Innovator in 3D Image Database Technologies
Introduction
Ping-Chang Lee is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of 3D image database technologies, holding a total of 2 patents. His work focuses on methods that enhance the understanding and management of complex 3D networks.
Latest Patents
One of his latest patents is titled "Method for searching and constructing 3D image database." This invention relates to methods for searching and constructing a 3D motif image database, which can be utilized to understand the connection relationships of a 3D network, including both biological and artificial neural networks. The methods applied to the 3D motif image database are designed to facilitate the management of vast amounts of categorized data while uncovering hidden information.
Another significant patent is "Image preprocessing system for 3D image database construction." This invention discloses an image preprocessing system that includes a processing unit and an image preprocessing unit. The image preprocessing unit is responsible for preprocessing image slice data and includes an image fusion module to estimate missing values and an image stitching module to combine different image slice data into a cohesive dataset. The processed data is then stored in a database linked to the processing unit.
Career Highlights
Ping-Chang Lee has worked with esteemed institutions such as Tsinghua University and National Applied Research Laboratories. His experience in these organizations has allowed him to develop innovative solutions in the realm of 3D imaging.
Collaborations
He has collaborated with notable colleagues, including Ann-Shyn Chiang and Yu-Tai Ching, contributing to advancements in their respective fields.
Conclusion
Ping-Chang Lee's work in 3D image database technologies showcases his innovative spirit and dedication to enhancing data management and understanding in complex networks. His contributions are paving the way for future advancements in this critical area of research.
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