A Visual Saliency Detection Algorithm Based on the Image Anisotropic in the Frequency Domain

被引：0

作者：

Shen Yifeng ^{[1
]}

Niu Yifeng ^{[1
]}

Shen Lincheng ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

Saliency Detection; Frequency Domain; SSS Algorithm; Renyi Entropy;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A frequency domain algorithm using the image anisotropic is proposed for visual saliency in this paper. Based on the SSS algorithm, we generate 8 saliency maps corresponding 8 Gaussian kernels. Then, use the Renyi entropy to divide these saliency maps into two classes and select one optimal map for each class. Finally, combine these two optimal maps for the finally saliency map. The experimental comparison between the proposed and original approach demonstrate the effectiveness and accuracy of our method.

引用

页码：4743 / 4746

页数：4

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