Regular Section
Saliency Detection via Absorbing Markov Chain with Multi-Level Cues
2022 Volume E105.A Issue 6 Pages 1010-1014
Details
2022 Volume E105.A Issue 6 Pages 1010-1014
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.
