激光与光电子学进展, 2021, 58 (4): 0410023, 网络出版: 2021-02-24
TDFF:一种强鲁棒性的烟雾图像检测算法 
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TDFF: Strong Robust Algorithm for Smoke Image Detection
图 & 表
图 1. 非均匀模式中不同类型的特征。(a1)~(a4) 线性特征;(b1)~(b4) T型特征;(c1)(c2) 十字与对角特征
Fig. 1. Different types of features in heterogeneous modes. (a1)--(a4) Linear features; (b1)--(b4) T-type features; (c1)(c2) cross and diagonal features
图 3. 不同特征的提取结果。(a1)(a2) 传统LBP特征;(b1)(b2) T-MFLBP特征
Fig. 3. Extraction results of different features. (a1)(a2) Traditional LBP features; (b1)(b2) T-MFLBP features
图 4. 不同方法在不同数据集中的检测率对比
Fig. 4. Comparison of detection rates of different methods in different datasets
图 5. 不同方法在不同数据集中的误警率对比
Fig. 5. Comparison of false alarm rates of different methods in different datasets
图 6. 不同方法在不同维度下的检测率对比曲线
Fig. 6. Detection rate comparison curves of different methods in different dimensions
图 7. 不同方法在不同维度下的误警率对比曲线
Fig. 7. Comparison curves of false alarm rates in different dimensions by different methods
图 8. 不同特征融合方法在不同迭代次数下的检测率对比曲线
Fig. 8. Comparison curves of detection rates of different feature fusion methods under different number of iterations
表 1不同特征融合方法的性能比较
Table1. Performance comparison of different feature fusion methods unit: %
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王韦刚, 王炳蔚, 张云伟. TDFF:一种强鲁棒性的烟雾图像检测算法[J]. 激光与光电子学进展, 2021, 58(4): 0410023. Weigang Wang, Bingwei Wang, Yunwei Zhang. TDFF: Strong Robust Algorithm for Smoke Image Detection[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410023.
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