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1. 中国科学院 长春光学精密机械与物理研究所 航空光学成像与测量重点实验室, 吉林 长春 130033
2. 中国科学院大学, 北京 100049
杜慧(1990-),女,山东临沂人,硕士研究生,2014年于山东大学获得学士学位,主要从事计算机视觉,图像处理,模式识别等方面的研究。E-mail:1124298380@qq.com
收稿日期:2016-06-15,
录用日期:2016-7-27,
纸质出版日期:2016-09
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杜慧, 张涛, 张叶, 等. 基于空频域结合的显著目标检测[J]. 液晶与显示, 2016,31(9):913-920.
Hui DU, Tao ZHANG, Ye ZHANG, et al. Saliency detection based on frequency domain combined with spatial domain[J]. Chinese journal of liquid crystals and displays, 2016, 31(9): 913-920.
杜慧, 张涛, 张叶, 等. 基于空频域结合的显著目标检测[J]. 液晶与显示, 2016,31(9):913-920. DOI: 10.3788/YJYXS20163109.0913.
Hui DU, Tao ZHANG, Ye ZHANG, et al. Saliency detection based on frequency domain combined with spatial domain[J]. Chinese journal of liquid crystals and displays, 2016, 31(9): 913-920. DOI: 10.3788/YJYXS20163109.0913.
为了能更准确地检测出图像中的各种显著性目标,针对单一域的显著性目标检测方法容易造成有用信息遗失的缺点,提出一种将图像频域的全局信息与空域的局部信息结合获得更全面的显著性目标信息的新模型。通过融合两个域中的有用信息,将空域中的局部信息与频域中的全局信息进行信息的优势互补。此模型不但可以加强复杂背景下显著区域部分,而且可以有效抑制重复的非显著性部分。实验表明该模型方法相对于其它单一域的模型能较好的提取显著性目标区域,与单一的空频域模型比较,在准确率上相对于空域模型提高9.5%,相对于频域模型提高了6.3%。
In order to detect saliency goals more accurately
saliency detection method for single domain is easy to cause the disadvantage of useful information loss. So a model is proposed by combining global information of the frequency and local information of the spatial to obtain more comprehensive saliency target information. The model is necessary. Through fusing the useful information of two domains
the final saliency detection combines the detail of the local information with the integrity of the global information. This model can not only strengthen saliency regions
but also can suppress non-significant parts in a complex background. Saliency detection which is obtained by the new model are clear and complete
and it can inhibit the background information to highlight the saliency regions. Experiments showed that the proposed model relative to the other single domain model can extract significant target area better. Compared with single domain model
the new model improved 9.5% relatively to spatial domain model
and improved 6.3% relatively to frequency domain model.
杜杰,吴谨,朱磊.基于区域特征融合的RGBD显著目标检测[J].液晶与显示,2016,31(1):117-123.
DU J,WU J,ZHU L.RGBD salient object detection based on regional feature integration[J]. Chinese Journal of Liquid Crystals and Displays, 2016,31(1):117-123.(in Chinese)
CHEN D,MA L Y,ZHANG R.Region based saliency detection by learning background information[C]// Proceedings of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting ,Beijing:IEEE,2014:1-6.
CHEN D Y,JIA T,WU C D.Visual saliency detection:from space to frequency[J]. Signal Processing:Image Communication ,2016,44:57-68.
LI J,LEVINE M D,AN X J, et al. Saliency detection based on frequency and spatial domain analysis[C]// Proceedings of the 22nd British Machine Vision Conference ,Dundee:University of Dundee,2011:1-11.
张颖颖,张帅,张萍,等.融合对比度和分布性的图像显著性区域检测[J].光学精密工程,2014,22(4):1012-1019.
ZHANG Y Y,ZHANG S,ZHANG P, et al. Detection of salient maps by fusion of contrast and distribution[J]. Optics and Precision Engineering, 2014,22(4):1012-1019.(in Chinese)
ITTI L,KOCH C,NIEBUR E.A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998,20(11):1254-1259.
HAREL J,KOCH C,PERONA P.Craph-based visual saliency[C]// Proceedings of Advances in Neural Information Processing Systems 19:Proceedings of the 2006 Conference ,Vancouver:MIT Press,2006.
ACHANTA R,ESTRADA F,WILS P, et al. Salient region detection and segmentation[C]// Proceedings of the 6th International Conference on Computer Visual Systems ,Berlin Heidelberg:Springer,2008:66-75.
GOFERMAN S,ZELNIK-MANOR L,TAL A.Context-aware saliency detection[C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR),San Francisco, CA:IEEE,2010. http://www.oalib.com/references/16881926
HOU X D,ZHANG L Q.Saliency detection:a spectral residual approach[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis,MN:IEEE,2007:1-8. http://www.oalib.com/references/16881928
GUO C L,MA Q,ZHANG L M.Spatio-temporal saliency detection using phase spectrum of quaternion Fourier transform[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Anchorage,AK:IEEE,2008:1-8.
ACHANTA R,HEMAMI S,ESTRADA F, et al. Frequency-tuned salient region detection[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami,FL:IEEE,2009:1597-1604.
LI J,LEVINE M D,AN X J, et al. Visual Saliency based on scale-space analysis in the frequency domain[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence ,2013,35(4):996-1010.
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