光学 精密工程, 2017, 25 (5): 1312, 网络出版: 2017-06-30  

元胞自动机多尺度优化的显著性细微区域检测

Salient subtle region accurate detection via cellular automata multi-scale optimization
作者单位
1 北京工业大学 信息学部, 北京 100124
2 河南科技学院 机电学院, 河南 新乡 453003
引用该论文

徐涛, 贾松敏, 张国梁. 元胞自动机多尺度优化的显著性细微区域检测[J]. 光学 精密工程, 2017, 25(5): 1312.

XU Tao, JIA Song-min, ZHANG Guo-liang. Salient subtle region accurate detection via cellular automata multi-scale optimization[J]. Optics and Precision Engineering, 2017, 25(5): 1312.

参考文献

[1] LI X, ZHAO L M, WEI L, et al.. DeepSaliency: Multi-task deep neural network model for salient object detection [J]. IEEE Transactions on Image Processing, 2016, 25(8): 3919-3930.

[2] 郭少军, 娄树理, 刘峰. 应用颜色聚类图像块的多舰船显著性检测[J]. 光学 精密工程, 2016, 24(7): 1807-1817.

    GUO SH J, LOU SH L, LIU F, et al.. Multi-ship saliency detection via patch fusion by color clustering [J]. Opt. Precision Eng., 2016, 24(7): 1807-1817. (in Chinese)

[3] GUO C L, ZHANG L M. A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression [J]. IEEE Transactions on Image Processing, 2010, 19(1): 185-198.

[4] RAHTU E, KANNALA J, SALO M, et al.. Segmenting salient objects from images and videos [C]. 2010 European Conference on Computer Vision, Crete, Greece, ECCV, 2010: 366-379.

[5] 张迪飞, 张金锁, 姚克明, 等. 基于SVM分类的红外舰船目标识别[J]. 红外与激光工程, 2016, 45(1): 179-184.

    ZHANG D F, ZHANG J S, YAO K M, et al.. Infrared ship-target recognition based on SVM classification [J]. Infrared and Laser Engineering, 2016, 45(1) 179-184. (in Chinese)

[6] TONG N, LU H C, RUAN X, et al.. Salient object detection via bootstrap learning [C]. 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Boston, United states, CVPR, 2015: 179-184.

[7] 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.

[8] HAREL J, KOCH C, PERONA P. Graph-based visual saliency [C]. Advances in Neural Information Processing Systems, Vancouver, Canada, 2006: 545-552.

[9] HOU X D, ZHANG L Q. Saliency detection: a spectral residual approach [C]. 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, United states, CVPR, 2007: 1-8.

[10] 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 SH, ZHANG P, et al.. Detection of salient maps by fusion of contrast and distribution [J]. Opt. Precision Eng., 2014, 22(4): 1012-1019. (in Chinese)

[11] WEI Y C, WEN F, ZHU W J, et al.. Geodesic saliency using background priors [C]. 2012 European Conference on Computer Vision, Florence, Italy, ECCV, 2012: 29-42.

[12] YANG C, ZHANG L H, LU H C, et al.. Saliency detection via graph-based manifold ranking [C]. 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Portland, United states, CVPR, 2013: 3166-3173.

[13] 贾松敏, 徐涛, 董政胤, 等. 采用脉冲耦合神经网络的改进显著性区域提取方法[J]. 光学 精密工程, 2015, 23(3): 819-826.

    JIA S M, XU T, DONG ZH Y, et al.. Improved salience region extraction algorithm with PCNN [J]. Opt. Precision Eng., 2015, 23(3): 819-826. (in Chinese)

[14] 罗会兰, 万成涛, 孔繁胜. 基于KL散度及多尺度融合的显著性区域检测算法[J]. 电子与信息学报, 2016, 38(7): 1594-1601.

    LUO H L, WAN CH T, KONG F SH, et al.. Salient region detection algorithm via KL divergence and multi-scale merging [J]. Journal of Electronics & Information Technology, 2016, 38(7): 1594-1601. (in Chinese)

[15] ZHANG L Y, MARKS T K, TONG M H, et al.. SUN: a bayesian framework for saliency using natural statistics [J]. Journal of Vision, 2008, 8(7): 1-20.

[16] YANG J M, YANG M H. Top-down visual saliency via joint CRF and dictionary learning [C]. 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, United states, CVPR, 2012: 2296-2303.

[17] JIANG H Z, WANG J D, YUAN Z J, et al.. Salient object detection: a discriminative regional feature integration approach [C]. 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Portland, United states, CVPR, 2013: 2083-2090.

[18] ZHU W J, LIANG S, WEI Y C, et al.. Saliency optimization from robust background detection [C]. 2014 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Columbus, United states, CVPR, 2014: 2814-2821.

[19] NEUMANN J V. The general and logical theory of automata [J]. Cerebral Mechanisms in Behavior, 1951, 1(41): 1-21.

[20] QIN Y, LU H C, XU Y Q, et al.. Saliency detection via cellular automata [C]. 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Boston, United states, CVPR, 2015: 110-119.

[21] HE K M, SUN H, TANG X O, et al.. Single image haze removal using dark channel prior [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353.

[22] 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): 2274-2281.

[23] BORJI A, CHENG M M, JIANG H, et al.. Salient object detection: a benchmark [J]. IEEE Transactions on Image Processing, 2015, 24(12): 5706-5722.

[24] 宋颖超, 罗海波, 惠斌, 等. 尺度自适应暗通道先验去雾方法[J]. 红外与激光工程, 2016, 45(9): 286-297.

    SONG Y CH, LUO H B, HUI B, et al.. Haze removal using scale adaptive dark channel prior [J]. Infrared and Laser Engineering, 2016, 45(9): 286-297. (in Chinese)

[25] RADHAKRISHNA A, SHEILA H, FRANCISCO E, et al.. Frequency-tuned salient region detection[C]. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Miami, United states, CVPR, 2009: 1597-1604.

[26] PERAZZI F, KRAHENBUL P, PRITCH Y, et al.. Saliency filters: contrast based filtering for salient region detection[C]. 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, United states, CVPR, 2012: 733-740.

徐涛, 贾松敏, 张国梁. 元胞自动机多尺度优化的显著性细微区域检测[J]. 光学 精密工程, 2017, 25(5): 1312. XU Tao, JIA Song-min, ZHANG Guo-liang. Salient subtle region accurate detection via cellular automata multi-scale optimization[J]. Optics and Precision Engineering, 2017, 25(5): 1312.

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