Abstract
In this study, deep neural networks were applied to a similar object classification method, and the classification performance was analyzed. For the similar object classification performance analysis, ResNet50 and DenseNet169 models, which are known to show similar behaviors, were selected. To verify the performance of these deep neural networks, a bolt recognition for smart factories and an armored fighting vehicle recognition were performed. In addition, image preprocessing methods to improve the similar object classification performance were proposed. The experimental results confirmed that appropriate image preprocessing methods should be applied according to the type of similar object to be classified.
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