Mevaseret-Zion, Israel

Guy Salton-Morgenstern

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Guy Salton-Morgenstern: Innovator in Image Classification Technology

Introduction

Guy Salton-Morgenstern is a notable inventor based in Mevaseret-Zion, Israel. He has made significant contributions to the field of image processing, particularly in the area of recurrent pattern image classification and registration. His innovative approach combines machine learning and neural networks to enhance image alignment techniques.

Latest Patents

Guy Salton-Morgenstern holds a patent for a method titled "Recurrent pattern image classification and registration." This patent describes a process that involves receiving a source image and a target image, each depicting a dense recurring pattern of closely arranged objects. The method applies a trained machine learning classifier to classify each pixel in both images into distinct classes. It further determines a pixel-level transformation between the classified images based on transformation parameters. A neural network is trained to optimize these parameters by minimizing a loss function that calculates per-pixel matches. Finally, the optimized parameters are applied to align the target image with the source image.

Career Highlights

Guy is currently employed at Seetree Systems Ltd., where he continues to develop innovative solutions in image processing. His work has positioned him as a key player in the advancement of machine learning applications in visual technology.

Collaborations

Throughout his career, Guy has collaborated with talented individuals such as Ori Shachar and Michael Yushchuk. These partnerships have contributed to the successful development of his patented technologies.

Conclusion

Guy Salton-Morgenstern is a pioneering inventor whose work in image classification and registration showcases the potential of machine learning in enhancing visual technology. His contributions continue to influence the field and inspire future innovations.

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