| Paper Abstract and Keywords |
| Presentation |
2019-02-20 09:30
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Microscope Images
Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron microscope images. In order to develop rubber materials with high durability, it is important to clarify the cause of deterioration. Although deterioration of the rubber materials can be observed from electron microscope images, it is difficult to obtain a large number of deteriorated data. Hence, we propose a deteriorated region estimation method using only non-deteriorated images, namely, anomaly detection. The proposed network consists of a recently proposed Deep Autoencoding Gaussian Mixture Model (DAGMM) model which can achieve a dimensionality reduction task and a density estimation task simultaneously. We show the effectiveness of our framework in the task of estimation of deteriorated regions from rubber material electron microscope images. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Region estimation / anomaly detection / small amount data / deep learning / rubber materials / / / |
| Reference Info. |
ITE Tech. Rep., vol. 43, no. 5, ME2019-49, pp. 265-268, Feb. 2019. |
| Paper # |
ME2019-49 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME IEICE-IE IEICE-ITS MMS HI AIT |
| Conference Date |
2019-02-19 - 2019-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2019-02-ME-IE-ITS-MMS-HI-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Microscope Images |
| Sub Title (in English) |
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| Keyword(1) |
Region estimation |
| Keyword(2) |
anomaly detection |
| Keyword(3) |
small amount data |
| Keyword(4) |
deep learning |
| Keyword(5) |
rubber materials |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Ren Togo |
| 1st Author's Affiliation |
Graduate School of Information Science and Technology (Hokkaido Univ.) |
| 2nd Author's Name |
Takahiro Ogawa |
| 2nd Author's Affiliation |
Graduate School of Information Science and Technology (Hokkaido Univ.) |
| 3rd Author's Name |
Miki Haseyama |
| 3rd Author's Affiliation |
Graduate School of Information Science and Technology (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2019-02-20 09:30:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2019-27, HI2019-27, ME2019-49, AIT2019-27 |
| Volume (vol) |
vol.43 |
| Number (no) |
no.5 |
| Page |
pp.265-268 |
| #Pages |
4 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |
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