Computer Science ›› 2017, Vol. 44 ›› Issue (7): 293-298.doi: 10.11896/j.issn.1002-137X.2017.07.053

Previous Articles     Next Articles

Visual Attention Modeling Based on Multi-scale Fusion of Amplitude Spectrum and Phase Spectrum

YUAN Xiao-yan, WANG An-zhi, PAN Gang and WANG Ming-hui   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Aiming at the deficiency of most existing frequency domain saliency detection algorithms which only use frequency domain amplitude spectrum or phase spectrum information alone,a visual attention model combining multi-scale frequency amplitude spectrum and phase spectrum was proposed.Firstly,the amplitude spectrum and the phase spectrum are obtained by quaternary transforming the image,and then the gamma correction and Gaussian filtering are performed on the amplitude spectrum.Finally,the entropy is used as weight to fuse the multi-scale saliency map.On the two published data sets,Bruce and Judd,the ROC curve,AUC value and F-Measure method were used to validate and evaluate the algorithm.The experimental results show that the proposed algorithm outperforms five visual attention models, predicts the significant attention areas more accurately,and achieves more satisfactory results.

Key words: Multi-scale,Amplitude spectrum,Phase spectrum,Information entropy,Visual attention

[1] QIAN X L,GUO L,HAN J W,et al.A Spectral AlgorithmBased on Weighted Sparse Coding for Visual Saliency Detection[J].Acta electronica Sinica,2013,41(6):1159-1165.(in Chinese) 钱晓亮,郭雷,韩军伟,等.一种基于加权稀疏编码的频域视觉显著性检测算法[J].电子学报,2013,41(6):1159-1165.
[2] WANG F J,TIAN M,HUANG Y P,et al.Classification Model of Visual Attention Based on Eye Movement Data[J].Computer Science,2016,43(1):85-89.(in Chinese) 王凤娇,田媚,黄雅平,等.基于眼动数据的分类视觉注意模型[J].计算机科学,2016,43(1):85-89.
[3] LI C,LI Y L,AN D X,et al.UWB SAR Change Detection of Foliage-Concealed Targets Based on Visual Attention[J].Acta Electronica Sinica,2016,44(1):39-46.(in Chinese) 李超,李悦丽,安道祥,等.基于视觉注意机制的UWBSAR叶簇隐蔽目标变化检测[J].电子学报,2016,44(1):39-46.
[4] ZHOU J B,REN Y F,YAN Y Y.Unsupervised Image Segmentation Based on Saliency Detection[J].Computer Science,2015,2(8):52-56.(in Chinese) 周静波,任永峰,严云洋.基于视觉显著性的非监督图像分割[J].计算机科学,2015,2(8):52-56.
[5] HOU X D,ZHANG L Q.Saliency Detection:A Spectral Resi-dual Approach[C]∥Proceedings of IEEE Computer Vision and Pattern Recognition.Minneapolis,MN,2007:1-8.
[6] GUO C L,MA Q,ZHANG L M.Spatio-temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform[C]∥Proceedings of IEEE Computer Vision and Pattern Recognition.Anchorage,AK,2008:1-8.
[7] CASTLEMAN K.Digital Image Processing[M].Prentice-Hall,New York,1996.
[8] LI J,LEVINE M D,AN X J,et al.Visual Saliency Based onScale-Space Analysis in the Frequency Domain[J].IEEE Tran-sactions on Pattern Analysis and Machine Intelligence,2013,5(4):996-1010.
[9] ACHANTA R,HEMAMI S,ESTRADA F,et al.Frequency-tuned salient region detection[C]∥Proceedings of IEEE Confe-rence on Computer Vision and Pattern Recognition.Miami,FL,2009:1597-1604.
[10] YU Y,WANG B,ZHANG L M.Pulse discrete cosine transform for saliency-based visual attention[C]∥Proceedings of IEEE International Conference on Development and Learning.Shanghai,2009:1-6.
[11] SCHAUERTE B,STIEFELHAGEN R.Predicting human gaze using quaternion DCT image signature saliency and face detection[C]∥Proceedings of IEEE Workshop on the Applications of Computer Vision(WACV).Breckenridge,CO,2012:137-144.
[12] HOU X,HAREL J,KOCH C.Image Signature:HighlightingSparse Salient Regions[J].IEEE Transactions on Pattern Analy-sis and Machine Intelligence,2012,4(1):194-201.
[13] JUNG C,KIM C.A Unified Spectral-Domain Approach for Sa- liency Detection and Its Application to Automatic Object Segmentation[J].IEEE Transactions on Image Processing,2012,1(3):1272-1283.
[14] ZHAO B,DELP E J.Visual Saliency Models Based on Spectrum Processing[C]∥Proceedings of IEEE Winter Conference on Applications of Computer Vision.Waikoloa,HI,2015:976-981.
[15] MA X L,XIE X D,LAM K M,et al.Efficient saliency analysis based on wavelet transform and entropy theory[J].Journal of Visual Communication and Image Representation,2015,0(7):201-207.
[16] CHEN D Y,JIA T,WU C D.Visual saliency detection:From space to frequency[J].Signal Processing:Image Communication,2016,4(5):57-68.
[17] ITTI L,KOCH C,NIEBUR E.A Model of Saliency-Based Vi-sual Attention for Rapid Scene Analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1998,0(11):1254-1259.
[18] LI M.Design and Implementation of a Biological PlausibilityVisual Attention Model In frequency Domain[D].Xinxiang:Henan Normal University,2015.(in Chinese) 李铭.生物可信性频域视觉注意模型的设计与实现[D].新乡:河南师范大学,2015.
[19] LI X H,LU H C,ZHANG L H,et al.Saliency Detection via Dense and Sparse Reconstruction[C]∥Proceedings of IEEE International Conference on Computer Vision.Sydney,NSW,2013:2976-2983.
[20] WANG A,WANG M,PAN G,et al.Salient object detection with high-level prior based on bayesian fusion[J].IET ComputerVision,2017,11(3):199-206.
[21] QIN Y,LU H,XU Y,et al.Saliency detection via Cellular Automata[C]∥Proceedings of IEEE Computer Vision and Pattern Recognition.Boston,MA,2015:110-119.
[22] BRUCE N D,TSOTSOS J K.Saliency,attention,and visual sear-ch:an information theoretic approach[J].Journal of Vision,2009,9(3):1-24.
[23] JUDD T,EHINGER K,DURAND F,et al.Learning to predict where humans look[C]∥Proceedings of IEEE International Conference on Computer Vision.Kyoto,2009:2106-2113.
[24] MURRAY N,VANRELL M,OTAZU X,et al.Saliency estimation using a non-parametric low-level vision model[C]∥Proceedings of IEEE Computer Vision and Pattern Recognition.Providence,RI,2011:433-440.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .