Company Filing History:
1 out of 832,912 Years Active: 1997
Title: Jaques-Ariel Sirat: Innovator in Image Segmentation Technology
Introduction
Jaques-Ariel Sirat is a notable inventor based in Limeil-Brevannes, France. He has made significant contributions to the field of image processing, particularly through his innovative patent related to image segmentation devices. His work focuses on enhancing the accuracy and efficiency of image analysis in various applications.
Latest Patents
Jaques-Ariel Sirat holds a patent for an image segmentation device. This device is designed to segment images that feature a moving pattern against a fixed or quasi-fixed background. The process involves determining a silhouette of the moving pattern and forming a segmentation image that fills this silhouette. By analyzing differences between the current image and previous images in a sequence, the device creates a binary image that distinguishes between the background and the useful zone. The boundaries of the useful zone are then regularized, while any irregularities in both the useful zone and the background are suppressed. This innovative approach allows for the formation of a clear segmentation image within the silhouette.
Career Highlights
Throughout his career, Jaques-Ariel Sirat has demonstrated a commitment to advancing technology in image processing. His patent reflects his expertise and innovative thinking in the field. His work has the potential to impact various industries that rely on image analysis, making him a valuable contributor to technological advancements.
Collaborations
Jaques-Ariel Sirat has collaborated with notable professionals in his field, including Philippe P Riglet and Lionel Bouchard. These collaborations have likely enriched his work and contributed to the development of his innovative technologies.
Conclusion
Jaques-Ariel Sirat is a distinguished inventor whose work in image segmentation technology showcases his innovative spirit and technical expertise. His contributions are paving the way for advancements in image processing, making a significant impact in the field.