光学学报, 2018, 38 (3): 0315002, 网络出版: 2018-03-20
基于双目视觉的显著性目标检测方法 
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Salient Object Detection Method Based on Binocular Vision
图 & 表
图 2. 基于多特征融合聚类的区域分割示意图
Fig. 2. Schematic of region segmentation based on multi-feature fusion clustering
图 5. 稀疏视差构建示意图。(a)匹配点对;(b)合并区域匹配点;(c)稀疏视差图;(d)立体视差图
Fig. 5. Schematic of sparse disparity construction. (a) Matching point pairs; (b) match points in the merged regions; (c) sparse disparity; (d) stereo image of sparse disparity
图 7. 显著图融合背景抑制结果比较示例。(a)原左目图像;(b)稀疏视差图;(c) FT全局显著图;(d) FT区域均值显著图;(e)融合结果显著图;(f)背景抑制结果显著图
Fig. 7. Comparison of saliency map fusion and background suppression results. (a) Original left image; (b) sparse disparity map; (c) FT global saliency map; (d) FT regional mean saliency map; (e) fusing saliency map; (f) saliency map of results after background interference
图 9. 本文算法与全局对比度算法显著图对比。(a)原左目图;(b)原右目图;(c) GT算法;(d)本文算法;(e) LC算法;(f) FT算法;(g) HC算法;(h) PCA算法
Fig. 9. Comparison of saliency maps generated by the proposed algorithm and global contrast algorithms. (a) Original left image; (b) original right image; (c) GT algorithm; (d) proposed algorithm; (e) LC algorithm; (f) FT algorithm; (g) HC algorithm; (h) PCA algorithm
图 10. 本文算法与局部对比度算法显著图对比 (a)原左目图;(b)原右目图;(c) GT算法;(d)本文算法;(e) AC算法;(f) CA算法;(g) SEG算法
Fig. 10. Comparison of saliency maps generated by the proposed algorithm and local contrast algorithms. (a) Original left image; (b) original right image; (c) GT algorithm; (d) proposed algorithm; (e) AC algorithm; (f) CA algorithm; (g) SEG algorithm
图 11. 本文算法与先验信息算法显著图对比。(a)原左目图;(b)原右目图;(c) GT算法;(d)本文算法;(e) DSR算法;(f) GR算法;(g) RBD算法;(h) LPS算法;(i) MILPS算法
Fig. 11. Comparison of saliency maps generated by the proposed algorithm and prior information algorithms. (a) Original left image; (b) original right image; (c) GT algorithm; (d) proposed algorithm; (e) DSR algorithm; (f) GR algorithm; (g) RBD algorithm; (h) LPS algorithm; (i) MILPS algorithm
图 12. 本文算法与其他算法P-R曲线图。(a)与全局对比度算法对比;(b)与局部对比度算法对比;(c)与先验信息算法对比
Fig. 12. P-R curves of the proposed method and other algorithms. (a) Comparison with the global contrast algorithm; (b) comparison with the local contrast algorithm; (c) comparison with the prior information algorithm
图 13. 本文算法与其他算法的MAE、AUC、F值柱状图。(a)与全局对比度算法对比;(b)与局部对比度算法对比;(c)与先验信息算法对比
Fig. 13. MAE, AUC, F value histograms of the proposed method and other algorithms. (a) Comparison with the global contrast algorithm; (b) comparison with the local contrast algorithm; (c) comparison with the prior information algorithm
李庆武, 周亚琴, 马云鹏, 邢俊, 许金鑫. 基于双目视觉的显著性目标检测方法[J]. 光学学报, 2018, 38(3): 0315002. Li Qingwu, Zhou Yaqin, Ma Yunpeng, Xing Jun, Xu Jinxin. Salient Object Detection Method Based on Binocular Vision[J]. Acta Optica Sinica, 2018, 38(3): 0315002.
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