Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost

10/05/2016
by   Nicolas Papadakis, et al.
0

We investigate in this work a versatile convex framework for multiple image segmentation, relying on the regularized optimal mass transport theory. In this setting, several transport cost functions are considered and used to match statistical distributions of features. In practice, global multidimensional histograms are estimated from the segmented image regions, and are compared to referring models that are either fixed histograms given a priori, or directly inferred in the non-supervised case. The different convex problems studied are solved efficiently using primal-dual algorithms. The proposed approach is generic and enables multi-phase segmentation as well as co-segmentation of multiple images.

READ FULL TEXT

page 12

page 13

page 14

page 15

page 16

page 17

page 18

research
03/06/2015

Convex Color Image Segmentation with Optimal Transport Distances

This work is about the use of regularized optimal-transport distances fo...
research
09/22/2019

Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning

Image segmentation with a volume constraint is an important prior for ma...
research
11/16/2018

Entropy-regularized Optimal Transport Generative Models

We investigate the use of entropy-regularized optimal transport (EOT) co...
research
06/20/2019

Screening Sinkhorn Algorithm for Regularized Optimal Transport

We introduce in this paper a novel strategy for efficiently approximate ...
research
08/28/2020

Continuous Regularized Wasserstein Barycenters

Wasserstein barycenters provide a geometrically meaningful way to aggreg...
research
02/03/2015

Clothing Co-Parsing by Joint Image Segmentation and Labeling

This paper aims at developing an integrated system of clothing co-parsin...
research
01/31/2018

Improved Image Segmentation via Cost Minimization of Multiple Hypotheses

Image segmentation is an important component of many image understanding...

Please sign up or login with your details

Forgot password? Click here to reset