Laser & Optoelectronics Progress, Volume. 60, Issue 23, 2314009(2023)
MLP Neural Network-Based Detection System for Rust Removal by Laser
Fig. 1. Schematic diagram of laser derusting computer vision detection system
Fig. 2. Structure of neural network
Fig. 3. Training process and results of MLP network with different number of hidden layers. (a) Error curves; (b) training results
Fig. 4. Single galvanometer beam scanning system
Fig. 5. Image processing results. (a) ROI before opening-operation; (b) ROI after opening-operation
Fig. 6. Rust samples in different states (left) and base plate samples (right)
Fig. 7. Different rust images. (a) Sample A taken under professional LED light source; (b) sample B taken under professional LED light source; (c) sample B taken under natural light; (d) sample B taken under uneven light
Fig. 8. Image processing results of different rusts. (a1)‒(d1) are MLP rust identification results of Fig. 7(a)‒(d), respectively; (a2)‒(d2) are ROI of (a1)‒(d1), respectively
Fig. 9. Results of laser cleaning. (a) Sample A; (b) sample B
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Rui Yi, Chunming Wang, Wei Zhang, Jun Wang. MLP Neural Network-Based Detection System for Rust Removal by Laser[J]. Laser & Optoelectronics Progress, 2023, 60(23): 2314009
Category: Lasers and Laser Optics
Received: Oct. 26, 2022
Accepted: Dec. 12, 2022
Published Online: Dec. 11, 2023
The Author Email: Wang Jun (wangjunwuhan@163.com)