Title:
CRACK DETECTION APPARATUS, CRACK DETECTION METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2017/057363
Kind Code:
A1
Abstract:
Provided are a crack detection apparatus, a crack detection method and a program that are capable of accurately detecting shallow cracks. A crack detection apparatus 300 is provided with: a target pixel determination unit 360; a search range determination unit 362; a candidate region determination unit 364; a pixel detection unit 366; a percolation region expansion unit 368; a threshold value updating unit 370; and a determination unit 372. The threshold value updating unit 370 updates a threshold value on the basis of the shape of a percolation region and a depth from the structure surface of a part, of a structure, corresponding to target pixels.
Inventors:
KO GAKUHEI (JP)
Application Number:
PCT/JP2016/078453
Publication Date:
April 06, 2017
Filing Date:
September 27, 2016
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
G01N21/88; G01B11/30; G06T1/00; G06T7/60
Foreign References:
| JP2001209794A | 2001-08-03 | |||
| JP2012098045A | 2012-05-24 |
Other References:
TOMOYUKI YAMAGUCHI ET AL.: "Image-Based Crack Detection for Real Concrete Surfaces", IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, vol. 3, no. 1, 2008, pages 128 - 135, XP055375642
ZHONG QU ET AL.: "An Improved Algorithm for Image Crack Detection Based on Percolation Model", IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, vol. 10, March 2015 (2015-03-01), pages 214 - 221
ZHONG QU ET AL.: "An Improved Algorithm for Image Crack Detection Based on Percolation Model", IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, vol. 10, March 2015 (2015-03-01), pages 214 - 221
Attorney, Agent or Firm:
MATSUURA, Kenzo (JP)
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