• Laser & Optoelectronics Progress
  • Vol. 56, Issue 16, 161010 (2019)
Xuemin Chen*, Hongmei Tang, Liying Han, and Zhenbin Gao
Author Affiliations
  • School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China
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    DOI: 10.3788/LOP56.161010 Cite this Article Set citation alerts
    Xuemin Chen, Hongmei Tang, Liying Han, Zhenbin Gao. Image Saliency Detection of Bayesian Integration Multi-Kernel Learning[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161010 Copy Citation Text show less
    References

    [1] Bi L H, Liu Y C. Plant leaf image recognition based on improved neural network algorithm[J]. Laser & Optoelectronics Progress, 54, 121102(2017).

    [2] Li J X, Zong Q. Object tracking based on multi-feature and local joint sparse representation[J]. Laser & Optoelectronics Progress, 54, 101502(2017).

    [3] Li F Y, Huo H T, Bai J et al. Hyperspectral target detection based on sparse representation and adaptive model[J]. Acta Optica Sinica, 38, 1228004(2018).

    [4] Wang L H, Tu Z Z, Wang Z L. Image saliency detection based on manifold regularized random walk[J]. Laser & Optoelectronics Progress, 55, 121005(2018).

    [5] Lu Y Y, Qiang J R, Wang Z. Image segmentation based on active contours with local information[J]. Computer Engineering and Applications, 54, 208-212(2018).

    [6] Harel J, Koch C, Perona P. Graph-based visual saliency[C]∥19th International Conference on Neural Information Processing Systems, December 4-7, 2006, Canada., 545-552(2006).

    [7] Margolin R, Tal A, Zelnik-Manor L. What makes a patch distinct?. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2013, Portland, OR, USA. New York: IEEE, 1139-1146(2013).

    [8] Yang C, Zhang L H, Lu H C. Graph-regularized saliency detection with convex-hull-based center prior[J]. IEEE Signal Processing Letters, 20, 637-640(2013).

    [9] Tong N, Lu H C, Zhang L H et al. Saliency detection with multi-scale superpixels[J]. IEEE Signal Processing Letters, 21, 1035-1039(2014).

    [10] Tong N, Lu H C, Ruan X et al. Salient object detection via bootstrap learning. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 1884-1892(2015).

    [11] Cheng M M, Mitra N J, Huang X L et al. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 569-582(2015).

    [12] 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, December 1-8, 2013, Sydney, NSW, Australia. New York: IEEE, 1665-1672(2013).

    [13] Li X H, Lu H C, Zhang L H et al. Saliency detection via dense and sparse reconstruction. [C]∥2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia. New York: IEEE, 2976-2983(2013).

    [14] Huang Z C. Research of salient object detection based on prior integration and feature guidance[D]. Hefei: Anhui University, 32-33(2017).

    [15] Liu K, Zhang X Y, Chen N J et al. Salient object detection fusing depth information under foggy weather[J]. Journal of Hebei University of Technology, 44, 10-15(2015).

    [16] Bi W, Huang W G, Zhang Y P et al. Object detection based on salient contour of image[J]. Acta Electronica Sinica, 45, 1902-1910(2017).

    Xuemin Chen, Hongmei Tang, Liying Han, Zhenbin Gao. Image Saliency Detection of Bayesian Integration Multi-Kernel Learning[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161010
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