The search functionality is under construction.
The search functionality is under construction.

Saliency Detection via Absorbing Markov Chain with Multi-Level Cues

Pengfei LV, Xiaosheng YU, Jianning CHI, Chengdong WU

  • Full Text Views

    0

  • Cite this

Summary :

A robust saliency detection approach for images with a complex background is proposed. The absorbing Markov chain integrating low-level, mid-level and high-level cues dynamically evolves by using the similarity between pixels to detect saliency objects. The experimental results show that the proposed algorithm has advantages in saliency detection, especially for images with a chaotic background or low contrast.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.6 pp.1010-1014
Publication Date
2022/06/01
Publicized
2021/12/07
Online ISSN
1745-1337
DOI
10.1587/transfun.2021EAL2071
Type of Manuscript
LETTER
Category
Image

Authors

Pengfei LV
  Northeastern University
Xiaosheng YU
  Northeastern University
Jianning CHI
  Northeastern University
Chengdong WU
  Northeastern University

Keyword