ニューラルネットによる画像ノイズ除去の応用 : 溶接接合部開先形状画像の信号処理

概要

論文の詳細を見る
On using the signal processing ability of Backpropagation Model of Neural Network, the noise elimination is performed on the image of a joint part of arc welding. The object image, which is obtained by the slit light slice method, is often used for the detection of joint configurationis on the purpose of welding automation. The noise caused by the welding arc is superimposed on the image and disturbs the detection. Such noise is eliminated through the learning process of Neural Network which is carried out for the noise imposed input images and the noiseless teacher images. The structure of the network, the image input method, the selection of the teacher image and the method to recover the resolution of the processed result are investigated experimentally. It is shown that the noise elimination is successfully done as the results.
社団法人溶接学会の論文
1995-11-05