Hiroshima, Japan

Kosuke Yamaoka

This inventor holds 1 USPTO granted patent. Top assignee: Hiroshima University. Active years: 2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kosuke Yamaoka. Retrieved from https://idiyas.com/inventor/kosuke-yamaoka

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Innovations of Kosuke Yamaoka

Introduction

Kosuke Yamaoka is a notable inventor based in Hiroshima, Japan. He has made significant contributions to the field of image processing through his innovative patent. His work focuses on enhancing image segmentation techniques, which are crucial in various applications, including computer vision and digital imaging.

Latest Patents

Kosuke Yamaoka holds a patent for an "Image segmentation apparatus and image segmentation method." This invention involves a pixel-value detecting circuit that detects RGB values of each pixel in an input image. The circuit outputs these detected RGB values to a connection weight determining circuit. The connection weight determining circuit establishes connection weights based on the color characteristics of adjacent pixels, allowing for effective image segmentation.

Career Highlights

Yamaoka is affiliated with Hiroshima University, where he continues to advance his research in image processing. His work has garnered attention for its practical applications and innovative approach to solving complex problems in image segmentation.

Collaborations

He has collaborated with esteemed colleagues, including Hans Juergen Mattausch and Tetsushi Koide, contributing to the advancement of technology in their respective fields.

Conclusion

Kosuke Yamaoka's contributions to image processing through his patent demonstrate his innovative spirit and dedication to advancing technology. His work continues to influence the field and inspire future developments in image segmentation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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