Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410023(2021)
TDFF: Strong Robust Algorithm for Smoke Image Detection
Fig. 1. Different types of features in heterogeneous modes. (a1)--(a4) Linear features; (b1)--(b4) T-type features; (c1)(c2) cross and diagonal features
Fig. 3. Extraction results of different features. (a1)(a2) Traditional LBP features; (b1)(b2) T-MFLBP features
Fig. 5. Comparison of false alarm rates of different methods in different datasets
Fig. 6. Detection rate comparison curves of different methods in different dimensions
Fig. 7. Comparison curves of false alarm rates in different dimensions by different methods
Fig. 8. Comparison curves of detection rates of different feature fusion methods under different number of iterations
Fig. 9. Comparison curves of false alarm rates of different feature fusion methods under different number of iterations
|
Get Citation
Copy Citation Text
Weigang Wang, Bingwei Wang, Yunwei Zhang. TDFF: Strong Robust Algorithm for Smoke Image Detection[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410023
Category: Image Processing
Received: Jul. 10, 2020
Accepted: Sep. 3, 2020
Published Online: Feb. 24, 2021
The Author Email: Wang Bingwei (1113627530@qq.com)