Fig. 1. Linear motor mover position measurement system

Fig. 2. Fence stripe images of different kinds. (a) Image of periodic fence; (b) aperiodic fence image of equal stripe width; (c) aperiodic fence image of black-white; (d) aperiodic fence image of gray scale

Fig. 3. Measurement errors of different algorithms. (a) Measurement errors of five algorithms; (b) comparison of measurement errors of two algorithms

Fig. 4. Displacement detection results under different intensity noises

Fig. 5. Runtime of different algorithms

Fig. 6. Regression structure diagram of DNN

Fig. 7. Modeling process of DNN

Fig. 8. Accuracy check of models. (a) DNN model; (b) SVM model

Fig. 9. Number of iterations of GA

Fig. 10. Experiment platform of position detection

Fig. 11. Signals acquired by line-scanning camera

Fig. 12. Error curves under different illuminations

Fig. 13. Measurement results of different target images

Fig. 14. Tracking accuracy of different speeds