日本機械学会論文集
Online ISSN : 2187-9761
ISSN-L : 2187-9761
機械力学,計測,自動制御,ロボティクス,メカトロニクス
RBF型ニューラルネットワークによる鏡面反射を有する鋼球面の刻印認識手法
竹田 史章
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ジャーナル フリー

2016 年 82 巻 835 号 p. 15-00518

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Up to now, we discuss a non-linear recognition system for the carved seal of the steal, which has several problems for the image processing and recognition for this research theme such as reflection, roundness, whole carved seal image and partial one. Sometimes these cause miss-recognition for the carved seal. We newly adopt the neural network to this carved seal recognition. This NN has radial based function as an output function for the localization of the recognition range. We discuss the recognition ability according to the several conditions such as lighting and editing method of the learning data for the NN using image of the steal ball for the pinball game. First, we analyze them from a viewpoint of the advanced image processing and construct the neuro recognition system for the carved seal. Finally, we show its effectiveness and feasibility by the simulation with image of the carved seal of the pinball.

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© 2016 一般社団法人日本機械学会
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