This inventor holds 1 USPTO granted patent. Top assignee: Must System Inc.. Active years: 1998.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1998
Title: Innovations of Ming-Song Wang
Introduction
Ming-Song Wang is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of image system calibration. His innovative approach has led to the development of a unique method and apparatus that enhances the accuracy of image systems.
Latest Patents
Ming-Song Wang holds a patent for a "Method and apparatus for calibrating image system." This invention involves a systematic process where data is input by scanning multiple lines into a computer. The method analyzes the input data to generate the intensity of the scanned lines. If the intensity falls below a low threshold or exceeds a high threshold, the inputting step is repeated. The process includes filtering out scanned lines that contain special points and averaging the corresponding points of the remaining lines to create a calibration line. Ultimately, calibration data is obtained by taking the ratio of a reference point to each point of the calibration line.
Career Highlights
Ming-Song Wang is currently employed at Must System Inc., where he continues to innovate and develop new technologies. His work has been instrumental in advancing the capabilities of image systems.
Collaborations
Ming-Song has collaborated with notable colleagues such as Rich Sheu and Jung-Fu Wu. Their combined expertise has contributed to the success of various projects within the company.
Conclusion
Ming-Song Wang's contributions to image system calibration exemplify the impact of innovative thinking in technology. His patent reflects a commitment to enhancing the accuracy and efficiency of image systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile