A glass image classification method based on multi-feature fusion

摘要

In this work, a new glass classification method is proposed. Firstly, images are enhanced by image preprocessing. Secondly, a series of glass features including shape and texture features are proposed. Finally, we employ simple minimum distance classifier to classify the input glass images. The experimental results show that the proposed method has high classification efficiency and accuracy.