The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 02, 2014

Filed:

Nov. 19, 2010
Applicants:

Yohei Minekawa, Fujisawa, JP;

Ryo Nakagaki, Kawasaki, JP;

Kenji Nakahira, Fujisawa, JP;

Takehiro Hirai, Ushiku, JP;

Katsuhiro Kitahashi, Hitachinaka, JP;

Inventors:

Yohei Minekawa, Fujisawa, JP;

Ryo Nakagaki, Kawasaki, JP;

Kenji Nakahira, Fujisawa, JP;

Takehiro Hirai, Ushiku, JP;

Katsuhiro Kitahashi, Hitachinaka, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G01N 23/22 (2006.01); H01J 37/26 (2006.01); G06T 7/00 (2006.01);
U.S. Cl.
CPC ...
H01J 37/26 (2013.01); G01N 23/22 (2013.01); G06T 2207/30148 (2013.01); G01N 2223/421 (2013.01); G01N 2223/6116 (2013.01); G01N 2223/6466 (2013.01); G06T 2207/10061 (2013.01); G06T 2207/22081 (2013.01); G06T 7/0004 (2013.01); G06T 2200/24 (2013.01);
Abstract

A defect observation device including an input-output unit supplied with information of a taught defect, and information of an ideal output of the taught defect, and configured to display a processing result based upon a determined image processing parameter set; and an automatic determination unit configured to: select image processing parameter sets which are less in number than the total number of all image processing parameter sets, out of all image processing parameter sets, calculate image processing results on an input defect image, by using the selected image processing parameter sets, calculate a coincidence degree for each of the selected image processing parameter sets, estimate distribution of an index value in all image processing parameter sets from distribution of the coincidence degree for the selected image processing parameter sets, and determine an image processing parameter set to have a high coincidence degree out of all image processing parameter sets.


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