Kyungki-do, South Korea

Surng Gahb Jahng


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Kyungki-do, KR (2004)
  • Koyang-si, KR (2004)

Company Filing History:


Years Active: 2004

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2 patents (USPTO):Explore Patents

Title: Surng Gahb Jahng: Innovator in Clustering Methods

Introduction

Surng Gahb Jahng is a notable inventor based in Kyungki-do, South Korea. He has made significant contributions to the field of image processing, particularly through his innovative clustering methods. With a total of 2 patents, Jahng has demonstrated his expertise and creativity in developing solutions that enhance image retrieval efficiency.

Latest Patents

Jahng's latest patents include a "Clustering method for rosette scan images." This invention outlines a systematic approach to clustering images based on their rosette patterns. The method involves several steps, including obtaining a subject image, converting location information, and defining partial clusters based on continuous data. The process culminates in binding adjacent partial clusters into independent clusters, thereby improving image analysis.

Another significant patent is the "Image indexing and retrieval method using the rosette pattern for the improvement of retrieval efficiency and performance." This invention aims to enhance the efficiency of image retrieval systems, making it easier to access and utilize image data effectively.

Career Highlights

Throughout his career, Surng Gahb Jahng has worked with various companies, including Multiway Systems Co. Ltd. His experience in the industry has allowed him to refine his skills and contribute to advancements in technology.

Collaborations

Jahng has collaborated with notable colleagues such as Jong Soo Choi and Hyun Ki Hong. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Surng Gahb Jahng is a distinguished inventor whose work in clustering methods has significantly impacted image processing. His patents reflect a commitment to enhancing retrieval efficiency and performance in image analysis.

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