This inventor holds 4 USPTO granted patents. Top assignees: University of Medicine and Dentistry of New Jersey, Other. Active years: 2011-2018.
Location History:
- Belle Mead, NY (US) (2015)
- Belle Mead, NJ (US) (2011 - 2018)
Company Filing History:

Years Active: 2011-2018
Title: Innovations of Peter Yim
Introduction
Peter Yim is an accomplished inventor based in Belle Mead, NJ (US). He holds a total of 4 patents that showcase his expertise in image segmentation technologies. His innovative methods have contributed significantly to advancements in digital image processing.
Latest Patents
Peter Yim's latest patents include a "Method and system for image segmentation using a directed graph." This method involves acquiring a digital image, constructing a directed graph from it, calculating various cost functions, and building an electrical network based on the graph and cost functions. The simulation of this electrical network is executed using fixed-point linearization, with the final step being the thresholding of voltages to achieve image segmentation. Notably, this simulation can be performed in parallel to enhance computational efficiency. Another patent, titled "Method and system for image segmentation," follows a similar approach but utilizes a graph instead of a directed graph. This method also emphasizes the importance of parallel simulation for improved efficiency.
Career Highlights
Throughout his career, Peter Yim has worked with various organizations, including the University of Medicine and Dentistry of New Jersey. His contributions to the field of image processing have been recognized and valued in both academic and professional settings.
Collaborations
Peter has collaborated with John Nosher, further enhancing his work in the field of image segmentation.
Conclusion
Peter Yim's innovative contributions to image segmentation demonstrate his commitment to advancing technology in digital image processing. His patents reflect a deep understanding of complex systems and a drive for efficiency in computational methods.