Infrared Technology, Volume. 45, Issue 5, 463(2023)
Foam Flow Rate Detection Based on Infrared Target Segmentation and SURF Matching in NSST Domain
[1] [1] Fonseca R R, Franco I C, Thompson J P, et al. Turbidity control on dissolved air flotation process using fuzzy logic[J]. Water Science and Technology, 2018, 78(12): 2586-2596.
[2] [2] XIE Y, WU J, XU D, et al. Reagent addition control for stibium rougher flotation based on sensitive froth image features[J]. IEEE Transactions on Industrial Electronics, 2016, 64(5): 4199-4206.
[3] [3] TAN J, LIANG L, PENG Y, et al. The concentrate ash content analysis of coal flotation based on froth images[J]. Minerals Engineering, 2016, 92: 9-20.
[4] [4] ZHANG J, TANG Z, LIU J, et al. Recognition of flotation working conditions through froth image statistical modeling for performance monitoring[J]. Minerals Engineering, 2016, 86: 116-129.
[6] [6] Kaartinen J, H.tnen J, Hytyniemi H, et al. Machine-vision-based control of zinc flotation—a case study[J]. Control Engineering Practice, 2006, 14(12): 1455-1466.
[7] [7] Nakhaei F, Irannajad M, Mohammadnejad S. Column flotation perfor-mance prediction: PCA, ANN and image analysis-based approaches[J]. Physicochemical Problems of Mineral Processing, 2019, 55(5): 1298-1310.
[8] [8] WANG Y, SUN B, ZHANG R, et al. Sulfur flotation performance recognition based on hierarchical classification of local dynamic and static froth features[J]. IEEE Access, 2018, 6: 14019-14029.
[11] [11] SINGH S, ANAND R S, GUPTA D. CT and MR image information fusion scheme using a cascaded framework in ripplet and NSST do-main[J]. IET Image Processing, 2018, 12(5): 696-707.
[13] [13] PENG Z, QU S, LI Q. Interactive image segmentation using geodesic appearance overlap graph cut[J]. Signal Processing: Image Communica-tion, 2019, 78: 159-170.
[17] [17] SONG J L, YANG J H, LIU F J, et al. High temperature strain measure-ment method by combining digital image correlation of laser speckle and improved RANSAC smoothing algorithm[J]. Optics and Lasers in Engi-neering, 2018, 111: 8-18.
Get Citation
Copy Citation Text
SHI Wenling, LIAO Yipeng, XU Zhimeng, YAN Xin, ZHU Kunhua. Foam Flow Rate Detection Based on Infrared Target Segmentation and SURF Matching in NSST Domain[J]. Infrared Technology, 2023, 45(5): 463
Category:
Received: May. 27, 2022
Accepted: --
Published Online: Jan. 15, 2024
The Author Email: Yipeng LIAO (fzu_lyp@163.com)
CSTR:32186.14.