SAMM: Surroundedness and Absorption Markov Model Based Visual Saliency Detection in Images

SAMM: Surroundedness and Absorption Markov Model Based Visual Saliency Detection in Images

In this paper, we propose a saliency detection method (SAMM) by using the surroundedness and absorption Markov model. First, the approximate area of the salient object is predicted by the surroundedness to the eye fixation point prediction. Second, a simple linear iterative clustering algorithm is a...

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Bibliographic Details
Main Authors: Zhenguo Gao, Naeem Ayoub, Danjie Chen, Bingcai Chen, Zhimao Lu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Saliency detection
image segmentation
artificial intelligence
absorption Markov model
eye fixation prediction
guided filter
Online Access:https://ieeexplore.ieee.org/document/8539972/

Internet

https://ieeexplore.ieee.org/document/8539972/

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