Saliency Map Estimation Using a Pixel-Pairwise-Based Unsupervised Markov Random Field Model

Saliency Map Estimation Using a Pixel-Pairwise-Based Unsupervised Markov Random Field Model

This work presents a Bayesian statistical approach to the saliency map estimation problem. More specifically, we formalize the saliency map estimation issue in the fully automatic Markovian framework. The major and original contribution of the proposed Bayesian–Markov model resides in the exploitati...

Full description

Bibliographic Details
Main Author: Max Mignotte
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
statistical estimation
iterative conditional estimation (ICE)
Markov random field (MRF)
mode of posterior marginal (MPM)
regions of interest
saliency map estimation
Online Access:https://www.mdpi.com/2227-7390/11/4/986

Internet

https://www.mdpi.com/2227-7390/11/4/986

Similar Items