このエントリーをはてなブックマークに追加
ID 17841
JaLCDOI
Sort Key
9
フルテキストURL
著者
井上 真一郎 Division of Electronic and Information System Engineering Graduate School of Natural Science and Technology Okayama University
小西 正躬 Division of Industrial Innovation Science Graduate School of Natural Science and Technology Okayama University
今井 純 Division of Industrial Innovation Science Graduate School of Natural Science and Technology Okayama University
抄録
In this research, an image processing method and a system for inspection support of a rod figured cutting tool are developed. As is well known, the visual inspection of a cutting tool by image processing is not easy, because cutting blade have a helical blade structure. To cope with the problem, an experimental facility with rotation and longitudinal tool shift functions to enable acquisition of blade surface pictures along a cutting rod is developed. The type of the defect treated in this paper is the spot of coating on blade surface. To judge the quality of the processed image of blade surface, neural network with autonomous learning is used. The processed image of cutting tool is divided into 64 × 64 blocks used for the input to the neural networks. Before input, each block data is preprocessed applying a edge detection filter and a transformation by the discrete fourier transform (DFT). Using these technologies, the experimental inspection system is built and tested to check the capabilities of the inspection algorithms. The diagnostic performance of the surface defect of a cutting tool was confirmed. There remained a problem to mis judge the normal tools as the defect.
出版物タイトル
Memoirs of the Faculty of Engineering, Okayama University
発行日
2009-01
43巻
出版者
Faculty of Engineering, Okayama University
出版者(別表記)
岡山大学工学部
開始ページ
55
終了ページ
60
ISSN
1349-6115
NCID
AA12014085
資料タイプ
紀要論文
OAI-PMH Set
岡山大学
言語
English
論文のバージョン
publisher
NAID
Eprints Journal Name
mfe