Suzhou, Japan

Shaoming Zhu

This inventor holds 2 USPTO granted patents. Top assignee: Suzhou Cleva Precision Machinery & Technology Co., Ltd. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shaoming Zhu. Retrieved from https://idiyas.com/inventor/shaoming-zhu-wtyvh12f

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

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Average Co-Inventor Count = 2.0

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Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Innovations by Shaoming Zhu in Image Shadow Detection

Introduction

Shaoming Zhu is an accomplished inventor based in Suzhou, Japan. He has made significant contributions to the field of image processing, particularly in shadow detection methods. His innovative approach aims to enhance the accuracy of image segmentation and shadow identification.

Latest Patents

Shaoming Zhu holds a patent for an "Image shadow detection method and system, and image segmentation device and readable storage medium." This patent discloses a method that involves acquiring a chrominance component of an image. The process includes segmenting the image based on a first segmentation rule, which utilizes the chrominance components and a preset chrominance interval. The method effectively reduces the possibility of shadow misjudgment by combining segmentation results with feature value analysis.

Career Highlights

Shaoming Zhu is currently associated with Suzhou Cleva Precision Machinery & Technology Co., Ltd. His work at this company focuses on advancing technologies related to image processing and machine vision. His innovative methods have the potential to improve various applications in imaging technology.

Collaborations

Due to space constraints, the collaborations section has been omitted.

Conclusion

Shaoming Zhu's contributions to image shadow detection represent a significant advancement in the field of image processing. His innovative methods and systems are poised to enhance the accuracy of image segmentation and shadow identification in various applications.

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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