SAITOH Fumihiko


SAITOH Fumihiko

J-GLOBAL         Last updated: Dec 11, 2019 at 02:48
 
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Name
SAITOH Fumihiko
Affiliation
Gifu University
Section
Faculty of Engineering
Degree
(BLANK)(Tohoku University)

Profile

Image Engineering/Medical Image ProcessingMedical Imaging AnalysisAdaptive Image Processing SystemGenetic Evolutionary SimulationRobot VisionOptimal Algorithm

Research Areas

 
 

Academic & Professional Experience

 
 
   
 
Professor, Gifu University Faculty of Engineering, Department of Information Science
 

Published Papers

 
Algorithm for Detecting Center of Micro Socket by Image Processing
Saitoh Fumihiko(IBM Japan)
181-182   Nov 1990
Algorithm for Detecting Center of Object by Image Processing
Saitoh Fumihiko(IBM Japan)
255-256   Nov 1990
Illumination Method for Chip Inspection
Saitoh Fumihiko(IBM Japan)
223-224   Dec 1990
Method for Detecting Center of Theta Table by Image Processing
Saitoh Fumihiko(IBM Japan)
332-333   Feb 1991
Method for Detecting Position of Chip Solder Ball Array
Saitoh Fumihiko(IBM Japan)
35-36   Feb 1991

Misc

 
Fumihiko Saitoh
Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering   63 520-524
This paper proposes a method for detecting visual pixel defects on color liquid crystal displays using an image processing system. The types of pixel defects of liquid crystal displays are bright dots which are always lighted and dark dots which a...
Fumihiko Saitoh
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers   52 554-560
An area of uneven brightness is a typical defect which influences the screen quality of a LCD display. At present in LCD manufacturing lines, inspection of such uneven areas depends on sensitive visual judgements by skillful inspectors. To automat...
Ryouhei Kagami, Fumihiko Saitoh
Proceedings of the International Display Workshops   2 1039-1042   Dec 2011
Soma Nakamura, Fumihiko Saitoh
IEEJ Transactions on Electronics, Information and Systems   134 686-693   Jan 2014
The method that binarizes an image by local thresholds in separated image areas is useful when the image has uneven brightness. And the method was proposed that separate an image dynamically for local thresholding to generate a binary image using ...
Fumihiko Saitoh
IEEE International Conference on Image Processing   2 308-312   Dec 1999
This paper proposes a system and a method to detect brightness unevenness in LCD displays to automate the visual inspection of LCD. In the image that includes edge pixels to form the disconnected boundary of a brightness unevenness and noisy pixel...

Books etc

 
遺伝的アルゴリズム
Nov 2006   

Research Grants & Projects

 
Study on Image Recognition
Study on Evolutionary Information Processing System