Abstract: We propose a convolutional autoencoder neural network for image classification in YCbCr color space to reduce computational complexity. We first learned local image features from image ...

When training CNN models for image classification, it is required to prepare sufficient training data taken in various conditions. However, traditional data augmentation methods are limited to ...