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Fusing Convolutional Neural Network Features with Hand-Crafted Features for Objective Fabric Smoothness Appearance Assessment
2020
IEEE Access
In the textile and apparel industry, it remains a challenging task to evaluate the fabric smoothness appearance objectively. In existing studies, with computer vision technology, researchers use the hand-crafted image features and deep convolutional neural network (CNN) based image features to describe the fabric smoothness appearance. This paper presents an image classification framework to evaluate the fabric smoothness appearance degree. The framework contains a feature fusion module to fuse
doi:10.1109/access.2020.3001354
fatcat:6jvj3togljchjnfc2r2slhr45e