Yiwen Liao

Unsupervised image segmentation using convolutional autoencoder with total variation regularization as preprocessing

Conventional unsupervised image segmentation methods use color and geometric information and apply clustering algorithms over pixels. They preserve object boundaries well but often suffer from over-segmentation due to noise and artifacts in the images. In this paper, we contribute on a preprocessing…