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...
Main Authors: | Zhenguo Gao, Naeem Ayoub, Danjie Chen, Bingcai Chen, Zhimao Lu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8539972/ |
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