Taoyuan, Taiwan

Ming-Huang Hsiao

This inventor holds 1 USPTO granted patent. Top assignee: Morning Dew Creative Technical Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ming-Huang Hsiao. Retrieved from https://idiyas.com/inventor/ming-huang-hsiao

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ming-Huang Hsiao and Endoscopic Imaging Innovation.

Introduction

Ming-Huang Hsiao is an inventor associated with Taoyuan, Taiwan. His patent work concerns endoscopic imaging and image processing, with a focus on producing enhanced images for medical assistance.

Latest Patents

Hsiao is named on 1 patent: “Endoscope Device, Endoscopic Medical Assistance System and Endoscopic Image Processing Method.” The invention describes an endoscope that captures reflected light to generate initial images, which are aligned into a superimposed image. An image fusion device analyzes features in that image, adjusts pixel color depth according to color-tone relationships within image regions, and generates a fusion image from the adjusted feature image.

Career Highlights

Hsiao is associated with Morning Dew Creative Technical Co., Ltd. His patent highlights work on combining endoscopic image capture with processing techniques intended to support medical visualization.

Collaborations

Yuan-Ting Fang is identified as Hsiao’s coworker. The available information does not specify Fang’s role in the patent or the invention.

Conclusion

Ming-Huang Hsiao’s patent reflects an innovation in endoscopic imaging that uses image alignment, feature analysis, and color-depth adjustment to generate a fused image.

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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