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:
Mar. 12, 2019

Filed:

Jan. 03, 2017
Applicant:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Inventors:

Min-Kyu Kim, Daejeon, KR;

Jeong-Mook Lim, Daejeon, KR;

Hee-Sook Shin, Daejeon, KR;

Chang-Mok Oh, Daejeon, KR;

Hyun-Tae Jeong, Daejeon, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 7/44 (2017.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 5/00 (2006.01); G06T 5/20 (2006.01); G06K 9/46 (2006.01); G06T 7/143 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6222 (2013.01); G06K 9/4619 (2013.01); G06K 9/6223 (2013.01); G06K 9/6231 (2013.01); G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/143 (2017.01); G06T 7/44 (2017.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Disclosed herein are an apparatus and method for processing a textured image. The apparatus includes a filter unit for detecting an edge of an input image and transforming the input image into an image in which a density of the edge is represented; a smoothing unit for removing noise from the transformed image and smoothing the image; a clustering unit for changing a number of regions into which the smoothed image is to be segmented and clustering the smoothed image a preset number of times; and a cluster optimization unit for setting a final number of clusters for the input image by optimizing a number of clusters based on a previously learned ground truth, for selecting an image corresponding to the final number of clusters from results of clustering by which the image is segmented into a different number of regions, and for outputting the selected image.


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