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For the Inventor, By the Inventor

Kanagawa, Japan

Kanya Ishizaka

This inventor holds 9 USPTO granted patents. Top assignee: Fuji Xerox Co., Ltd.. Active years: 2006-2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kanya Ishizaka. Retrieved from https://idiyas.com/inventor/kanya-ishizaka

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

USPTO Granted Patents = 9

% Patents Active = 11.1

Average Co-Inventor Count = 1.1

ph-index = 3

Forward Citations = 74(Granted Patents)


Location History:

  • Ashigarakami-gun, JP (2012)
  • Nakai-machi, JP (2013)
  • Kanagawa, JP (2006 - 2016)

Company Filing History:

goldMedal9 out of 11,665 
 
Fuji Xerox Co., Ltd.
 patents

Years Active: 2006-2016

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9 patents (USPTO):Explore Patents
1. 9277095 - Distribution evaluation apparatus and method, distribution determining apparatus and method, image processing apparatus and method, and computer readable medium (2016-03-01),
2. 8744212 - Image processing mask creating method, non-transitory computer-readable recording medium having image processing mask creating program recorded thereon, image processing device, and non-transitory computer-readable recording medium having image processing program recorded thereon (2014-06-03),
3. 8558838 - Image processing apparatus, image processing method and storage medium storing image processing program (2013-10-15),
4. 8098960 - Image processing apparatus, computer readable medium storing program, image processing method, and computer data signal (2012-01-17),
5. 7889884 - Image processing apparatus and method (2011-02-15),
6. 7809206 - Image processing apparatus for generating sub-self-similar sets (2010-10-05),
7. 7526137 - Image processing apparatus, image processing method, image processing program, and storage medium (2009-04-28),
8. 7155069 - Image processing apparatus, image processing method, and image processing program (2006-12-26),
9. 7046862 - Image processing apparatus and program (2006-05-16),

Title: Kanya Ishizaka: Innovator in Image Processing and Distribution Evaluation

Introduction

Kanya Ishizaka is a prominent inventor based in Kanagawa, Japan. He has made significant contributions to the fields of image processing and distribution evaluation. With a total of 9 patents to his name, Ishizaka continues to push the boundaries of technology and innovation.

Latest Patents

Ishizaka's latest patents include a variety of advanced technologies. One of his notable inventions is a distribution evaluation apparatus and method. This apparatus calculates weighted energy as an evaluation value representing the distribution of located objects. It utilizes a unique evaluation value calculating unit that incorporates various functions to assess the distribution effectively. Another significant patent is related to image processing, specifically an image processing mask creating method. This method involves calculating cluster energy for each point in an image processing mask and ranking these points based on their energy values.

Career Highlights

Kanya Ishizaka is currently employed at Fuji Xerox Co., Ltd. His work at this esteemed company has allowed him to develop innovative solutions that enhance image processing and distribution evaluation technologies. His expertise in these areas has made him a valuable asset to his organization.

Collaborations

Throughout his career, Ishizaka has collaborated with notable colleagues, including Takashi Nagao and Fujio Ihara. These collaborations have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.

Conclusion

Kanya Ishizaka is a distinguished inventor whose work in image processing and distribution evaluation has made a significant impact in the field. His numerous patents reflect his dedication to innovation and technological advancement.

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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