A New Detection Model for Saliency Map

Zhongshan Chen

Abstract


Visual attention is a mechanism which filters out redundant visual information and focus on the most relevant parts when observing an image,many bottom-up computational models of visual attention have been devised to get the saliency map for an image.In this paper, a new visual attention model is proposed.Based on the experimental results obtained in this study, as compared with existing bottom-up visual model, the proposed model has better visual detection performance and low computational complexity.

 

DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3582 


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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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