Chiba, Japan

Yoshiharu Matsuoka


Average Co-Inventor Count = 7.8

ph-index = 2

Forward Citations = 11(Granted Patents)


Location History:

  • Chiba, JP (1992)
  • Kamagaya, JP (1993)

Company Filing History:


Years Active: 1992-1993

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2 patents (USPTO):Explore Patents

Title: Innovations of Yoshiharu Matsuoka

Introduction

Yoshiharu Matsuoka is a notable inventor based in Chiba, Japan. He has made significant contributions to the field of particle aggregation pattern discrimination. With a total of 2 patents, Matsuoka's work showcases his expertise and innovative thinking.

Latest Patents

Matsuoka's latest patents include a "Method and apparatus for discriminating aggregation pattern" and a "Method of discriminating particle aggregation pattern." The first patent involves detecting an image of the aggregation pattern and dividing it into multiple image line data using a photoelectric element. This method defines high and low image levels based on the maximum image value, which are then used to determine areas of the aggregation pattern image. The calculated area difference and ratio are compared with a predetermined reference value to assess the positivity of the aggregation pattern. The second patent focuses on determining the aggregation pattern of particles by obtaining luminous intensity curves and calculating the ratio of areas of threshold faces cut from these curves.

Career Highlights

Throughout his career, Matsuoka has worked with prominent companies such as Dainabot Co., Ltd. and Suzuki Jidosha Kogyo Kabushiki Kaisha. His experience in these organizations has contributed to his development as an inventor and innovator in his field.

Collaborations

Matsuoka has collaborated with notable individuals, including Yasuhiko Yokomori and Masato Ohta. These partnerships have likely enriched his work and expanded his innovative capabilities.

Conclusion

Yoshiharu Matsuoka's contributions to the field of particle aggregation pattern discrimination highlight his innovative spirit and technical expertise. His patents reflect a deep understanding of image processing and particle behavior, making him a significant figure in his area of specialization.

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