基于流行排序的显著性检测改进算法研究
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摘要
图像显著性检测是从单幅图像中检测出最突出的部分,由于现有的显著性检测算法只考虑了单尺度的问题,本文提出一种线性加权图融合的显著性检测算法。该算法首先利用超像素分割算法对图像进行多尺度分割,然后利用线性加权融合算法,得到最终的显著图。在数据集ASD和ECSSD上与当前流行的8种检测算法进行实验比对,结果表明,本文算法能获得更优的F-measure值和精确度,而且可以获得更加均匀准确的显著图。
Image saliency detection is the algorithm that detects the most prominent part of the single image, and existing saliency detection algorithms only consider the problem of single layer segmentation, so the saliency detection scheme for multilayer image fusion is proposed. The image is segmented with multi-scale superpixel, the final significant graph is obtained using the linear weighted fusion algorithm. Based on the public significant datasets ASD and ECSSD, this scheme is compared with the eight current popular saliency detection algorithms, and simulated results show that it can obtain better F-measure values and accuracy, which can also get more uniform and accurate saliency graph.
Image saliency detection is the algorithm that detects the most prominent part of the single image, and existing saliency detection algorithms only consider the problem of single layer segmentation, so the saliency detection scheme for multilayer image fusion is proposed. The image is segmented with multi-scale superpixel, the final significant graph is obtained using the linear weighted fusion algorithm. Based on the public significant datasets ASD and ECSSD, this scheme is compared with the eight current popular saliency detection algorithms, and simulated results show that it can obtain better F-measure values and accuracy, which can also get more uniform and accurate saliency graph.
引文
[1]ITTI L,KOCH C,NIEBUR E.A model of saliencybased visual attention for rapid scene analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1998,20(11):1254-1259.
[2]ACHANTA R,HEMAMI S,ESTRADA F,et al.Frequency-tuned salient region detection[C]//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition,2009:1597-1604.
[3]GOFERMAN S,ZELNIK-MANOR L,TAL A.Context-aware saliency detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(10):1915-1926.
[4]CHENG M M,MITRA N J,HUANG X L,et al.Global contrast based salient region detection[J].IEEETransactions on Pattern Analysis and Machine Intelligence,2015,37(3):569-582.
[5]YANG J M,YANG M H.Top-Down visual saliency via joint CRF and dictionary learning[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(3):576-588.
[6]王鑫,王斌,张立明.基于图像显著性区域的遥感图像机场检测[J].计算机辅助设计与图形学学报,2012,24(3):336-344.
[7]JIANG B W,ZHANG L H,LU H C,et al.Saliency detection via absorbing markov chain[C]//2013 IEEE International Conference on Computer Vision(ICCV),2013:1665-1672.
[8]YANG C,ZHANG L,LU H,et al.Saliency detection via ranking saliency[J].IEEETransactions on Pattern Analysis and Machine Intelligence,2016:3166-3173.
[9]ACHANTA R,SHAJI A,SMITH K,et al.SLIC superpixels compared to state-of-the-art superpixel methods[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(11):2274-2282.
[10]PERAZZI F,KRAEHENBUEHL P,PRITCH Y A.Saliency filters:contrast based filtering for salient region detection[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition(CVPR).Providence,USA:IEEE Press,2012:733-740.
[11]HOU X,ZHANG L.Saliency detection:A spectral residual approach[C]//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition,2007:1-8.
[12]XIE Y L,LU H C,YANG M H.Bayesian saliency via low and mid level cues[J].IEEE Transactions on Image Processing:a Publication of the IEEE Signal Processing Society,2013,22(5):1689-1698.
[13]MURRAY N,VANRELL M,OTAZU X,et al.Saliency estimation using a non-parametric low-level vision model[C]//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition,providence:IEEE Press,2011:433-440.
[2]ACHANTA R,HEMAMI S,ESTRADA F,et al.Frequency-tuned salient region detection[C]//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition,2009:1597-1604.
[3]GOFERMAN S,ZELNIK-MANOR L,TAL A.Context-aware saliency detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(10):1915-1926.
[4]CHENG M M,MITRA N J,HUANG X L,et al.Global contrast based salient region detection[J].IEEETransactions on Pattern Analysis and Machine Intelligence,2015,37(3):569-582.
[5]YANG J M,YANG M H.Top-Down visual saliency via joint CRF and dictionary learning[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(3):576-588.
[6]王鑫,王斌,张立明.基于图像显著性区域的遥感图像机场检测[J].计算机辅助设计与图形学学报,2012,24(3):336-344.
[7]JIANG B W,ZHANG L H,LU H C,et al.Saliency detection via absorbing markov chain[C]//2013 IEEE International Conference on Computer Vision(ICCV),2013:1665-1672.
[8]YANG C,ZHANG L,LU H,et al.Saliency detection via ranking saliency[J].IEEETransactions on Pattern Analysis and Machine Intelligence,2016:3166-3173.
[9]ACHANTA R,SHAJI A,SMITH K,et al.SLIC superpixels compared to state-of-the-art superpixel methods[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(11):2274-2282.
[10]PERAZZI F,KRAEHENBUEHL P,PRITCH Y A.Saliency filters:contrast based filtering for salient region detection[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition(CVPR).Providence,USA:IEEE Press,2012:733-740.
[11]HOU X,ZHANG L.Saliency detection:A spectral residual approach[C]//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition,2007:1-8.
[12]XIE Y L,LU H C,YANG M H.Bayesian saliency via low and mid level cues[J].IEEE Transactions on Image Processing:a Publication of the IEEE Signal Processing Society,2013,22(5):1689-1698.
[13]MURRAY N,VANRELL M,OTAZU X,et al.Saliency estimation using a non-parametric low-level vision model[C]//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition,providence:IEEE Press,2011:433-440.