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17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine
Hong Kong, China
November 14-November 16
ISBN: 0-7695-2488-5
ASCII Text
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Michiko Yamana, Hiroshi Murata, Takashi Onoda, Tohru Ohashi, Seiji Kato, "Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine," Tools with Artificial Intelligence, IEEE International Conference on, pp. 402-406, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICTAI.2005.58,
author = {Michiko Yamana and Hiroshi Murata and Takashi Onoda and Tohru Ohashi and Seiji Kato},
title = {Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2005},
issn = {1082-3409},
pages = {402-406},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.58},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine
SN - 1082-3409
SP402
EP406
A1 - Michiko Yamana,
A1 - Hiroshi Murata,
A1 - Takashi Onoda,
A1 - Tohru Ohashi,
A1 - Seiji Kato,
PY - 2005
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Michiko Yamana, Central Research Institute of Electric Power Industry
Hiroshi Murata, Central Research Institute of Electric Power Industry
Takashi Onoda, Central Research Institute of Electric Power Industry
Tohru Ohashi, Chubu Electric Power Co., Inc.
Seiji Kato, Chubu Electric Power Co., Inc.
We attempt to develop a crossarm reuse judgment system based on rust images that uses machine learning techniques. The system consists of a digital camera and a standard note book personal computer (PC). We estimate the degree of accuracy of the judgment of various pattern classification methods without special image processing techniques such as the extraction of features. The results show that a support vector machine is the most suitable instrument for this judgment system. We obtain the high degree of accuracy by compressing the image data in order to decrease the number of features.
Citation:
Michiko Yamana, Hiroshi Murata, Takashi Onoda, Tohru Ohashi, Seiji Kato, "Development of System for Crossarm Reuse Judgment on the Basis of Classification of Rust Images Using Support Vector Machine," ictai, pp.402-406, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
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