Computer Science ›› 2018, Vol. 45 ›› Issue (10): 261-266.doi: 10.11896/j.issn.1002-137X.2018.10.048

• Graphics, Image & Pattern Recognition • Previous Articles     Next Articles

Saliency Object Detection Algorithm Integrating Focusness Feature of Frequency Domain Information

YUAN Xiao-yan1, WANG An-zhi2, WANG Ming-hui3   

  1. School of Intelligent Manufacturing,Sichuan University of Arts and Science,Dazhou,Sichuan 635000,China 1
    School of Computer Science and Technology,Southwest Minzu University,Chengdu 610041,China 2
    College of Computer Science,Sichuan University,Chengdu 610064,China 3
  • Received:2017-09-02 Online:2018-11-05 Published:2018-11-05

Abstract: Since visual attention prediction can locate the salient area of image quickly and accurately,in this paper,the frequency domain information of visual attention was integrated into the saliency object detection,to detect the saliency object effectively in the complex scene.Firstly,the improved frequency domain detection method is used to predict the visual attention of image,and the frequency domain information is blended into Focusness feature to calculate the frequency domain information focusness feature,which is combined with the color feature to generate the foreground sa-liency map.Next,the RBD background is optimized to generate the background saliency map.Finally,the foreground saliency map and background sa-liency map are fused to generate saliency map.A large number of experiments were carried out on two challenging datasets(ESSCD and DUT-OMON),and the results were evaluated by PR curve,F-Measure and MAE.Experimental results show that the proposed method is better than HFT,PQFT,HDCT,UFO,DSR and RBD,and it can deal with the images with complex scenes.

Key words: Background, Boundary connectivity, Focusness, Frequency domain information, Saliency

CLC Number: 

  • TP301.6
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