This inventor holds 1 USPTO granted patent. Top assignee: Thomson Trt Defense. Active years: 1993.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1993
Title: The Innovations of Serge Le Gall
Introduction
Serge Le Gall is a notable inventor based in Malakoff, France. He has made significant contributions to the field of image processing, particularly in the localization of rectilinear contours. His innovative approach has led to the development of a patented method that enhances the recognition of shapes within digitized images.
Latest Patents
Le Gall holds a patent for a "Method and device for the real-time localization of rectilinear contours." This invention focuses on an apparatus and method to localize rectilinear contours in a digitized image for recognizing shapes in a scene. The process involves determining the gradient of the gray level function of the image at each pixel's position. Contour pixels are identified, and those pixels are complemented with filler pixels where discontinuities are found. The neighborhood of pixels around a contour pixel is then compared with a series of characteristic pixel configurations to establish correspondence. This method effectively identifies rectilinear contour pixels, enhancing image recognition capabilities.
Career Highlights
Serge Le Gall is currently employed at Thomson TRT Defense, where he applies his expertise in image processing and technology development. His work has been instrumental in advancing the capabilities of image recognition systems.
Collaborations
Le Gall has collaborated with notable colleagues such as Jean-Yves Dufour and Hugues Waldburger. Their combined efforts have contributed to the success of various projects within their field.
Conclusion
Serge Le Gall's innovative work in image processing and his patented methods for contour localization demonstrate his significant impact on technology. His contributions continue to influence advancements in the recognition of shapes within digitized images.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile