Article
29 May 2020
Published
Springer Science and Business Media LLC
10.1007/s12559-020-09724-6
9724
1866-9956
the Fundamental Research Funds for the Central Universities of China; National Natural Science Foundation of China; Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province; the Pilot Project of Chinese Academy of Sciences
Jiang, F., Kong, B., Li, J., Dashtipour, K., & Gogate, M. (2021). Robust Visual Saliency Optimization Based on Bidirectional Markov Chains. Cognitive Computation, 13, 69–80. https://doi.org/10.1007/s12559-020-09724-6
Senior Research FellowSchool of Computing Engineering and the Built Environment
M.Gogate@napier.ac.uk
LecturerSchool of Computing Engineering and the Built Environment
K.Dashtipour@napier.ac.uk
Saliency detection, Bidirectional absorbing, Markov chain, Background and foreground possibility