4 papers
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
Haifeng Li, Jun Liu, Li Cui +2
Image segmentation with a volume constraint is an important prior for many real applications. In this work, we present a novel volume preserving image segmentation algorithm, which…
A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization
Faqiang Wang, Cuicui Zhao, Jun Liu +1
Image segmentation is a fundamental research topic in image processing and computer vision. In the last decades, researchers developed a large number of segmentation algorithms for…
Convexity Shape Prior for Level Set based Image Segmentation Method
Shi Yan, Xue-cheng Tai, Jun Liu +1
We propose a geometric convexity shape prior preservation method for variational level set based image segmentation methods. Our method is built upon the fact that the level set of…
Variational based Mixed Noise Removal with CNN Deep Learning Regularization
Faqiang Wang, Haiyang Huang, Jun Liu
In this paper, the traditional model based variational method and learning based algorithms are naturally integrated to address mixed noise removal problem. To be different from si…