Title:
METAL STRUCTURE PHASE CLASSIFICATION METHOD, METAL STRUCTURE PHASE CLASSIFICATION DEVICE, METAL STRUCTURE PHASE LEARNING METHOD, METAL STRUCTURE PHASE LEARNING DEVICE, MATERIAL PROPERTY PREDICTION METHOD FOR METAL MATERIAL, AND MATERIAL PROPERTY PREDICTION DEVICE FOR METAL MATERIAL
Document Type and Number:
WIPO Patent Application WO/2021/153633
Kind Code:
A1
Abstract:
This metal structure phase classification method comprises a feature calculation step for calculating one or more features for pixels of an image capturing the metal structure of a metal material and a phase classification step for classifying a phase in the metal structure in the image by inputting a feature calculated in the feature calculation step to a learned model trained using a feature, to which a label of each of a plurality of phases of the metal structure is added, as an input and the label of each phase as an output, and acquiring the label of the phase in the pixel corresponding to the inputted feature.
Inventors:
KIYOKANE NAOYA (JP)
YAMASHITA TAKAKO (JP)
OBATA YOSHIE (JP)
YAMASHITA TAKAKO (JP)
OBATA YOSHIE (JP)
Application Number:
PCT/JP2021/002906
Publication Date:
August 05, 2021
Filing Date:
January 27, 2021
Export Citation:
Assignee:
JFE STEEL CORP (JP)
International Classes:
G01N33/204; G01N21/17; G01N23/2251; G06T7/00
Domestic Patent References:
| WO2017010397A1 | 2017-01-19 |
Foreign References:
| JP2012104042A | 2012-05-31 | |||
| CN110619355A | 2019-12-27 | |||
| JP2019012037A | 2019-01-24 | |||
| JP2019007944A | 2019-01-17 | |||
| JPH05248839A | 1993-09-28 | |||
| DE19738943A1 | 1999-03-11 | |||
| JP2018121752A | 2018-08-09 |
Other References:
AJIOKA, FUMITO ET AL.: "Development of High Accuracy Segmentation Model for Microstructure of Steel by Deep Learning", ISIJ INTERNATIONAL ADVANCE ONLINE PUBLICATION, 18 January 2020 (2020-01-18), XP055845447, Retrieved from the Internet
TOJIMA, MASANORI ET AL.: "Pattern Recognition of Microstructures using Neural Networks", TETSU-TO-HAGANE, vol. 60, no. 7, 1994, pages 59 - 64, XP000457455
ADACHI, YOSHITAKA ET AL.: "Microstructure Recognition by Deep Learning", TETSU-TO-HAGANE, vol. 102, no. 12, 2016, pages 62 - 69, XP055943843
BULGARE VICH, DMITRY S. ET AL.: "Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools", SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS, vol. 20, no. 1, 5 June 2019 (2019-06-05), pages 532 - 542, XP055845438
MULEWICZ, BARTLOMIEJ ET AL.: "Autonomous Interpretaion of the Microstructure of Steels and Special Alloys", MATERIAL SCIENCE FORUM, vol. 949, 20 March 2019 (2019-03-20), pages 24 - 31, XP055845435
TOJIMA, MASANORI ET AL.: "Pattern Recognition of Microstructures using Neural Networks", TETSU-TO-HAGANE, vol. 60, no. 7, 1994, pages 59 - 64, XP000457455
ADACHI, YOSHITAKA ET AL.: "Microstructure Recognition by Deep Learning", TETSU-TO-HAGANE, vol. 102, no. 12, 2016, pages 62 - 69, XP055943843
BULGARE VICH, DMITRY S. ET AL.: "Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools", SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS, vol. 20, no. 1, 5 June 2019 (2019-06-05), pages 532 - 542, XP055845438
MULEWICZ, BARTLOMIEJ ET AL.: "Autonomous Interpretaion of the Microstructure of Steels and Special Alloys", MATERIAL SCIENCE FORUM, vol. 949, 20 March 2019 (2019-03-20), pages 24 - 31, XP055845435
Attorney, Agent or Firm:
SAKAI INTERNATIONAL PATENT OFFICE (JP)
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