設計工学・システム部門講演会講演論文集
Online ISSN : 2424-3078
会議情報
3308 自己組織化マップをもちいた輪郭形状のパターン認識
安部川 直稔青山 典幸見崎 大悟青村 茂
著者情報
会議録・要旨集 フリー

p. 442-443

詳細
抄録
We have proposed an effective pattern recognition method for contour image by extracting general and local features. In this method, firstly object is seen perspectively to identify class and secondly seen in detail to identify individual object. The images in the database must be classified to carry out flexible pattern recognition. This paper describes a method to classify images in the database by using Self-Organizing Maps (SOM) and to determine a prototype each class. And we show the result of applying our system to illustrated insects reference book.
著者関連情報
© 2002 一般社団法人 日本機械学会
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