Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221001(2020)
Tracking of Human Respiratory Motion Based on Kanade-Lucas-Tomasi Algorithm
Fig. 5. Results of pre-processing. (a) Original image; (b) down-sampled image; (c) image filtered by Lee filter; (d) image filtered by Kuwahara filter; (e) image denoised by Gaussian filter; (f) edge detection result with Canny operator
Fig. 6. Tracking results of experiment 1. (a) Mark four corner points of marker in first frame manually; (b) ROI calculated by algorithm according to marked coordinates of corner points; (c) tracking result of 100th frame with KLT algorithm
Fig. 7. Curves of actual displacement of body surface and pixel difference between ordinate frames of ROI corner points
Fig. 9. Comparison of phantom motion curves and algorithm tracking curves under three breathing conditions. (a) Three breathing conditions; (b) phantom motion curves; (c) algorithm tracking curves
Fig. 10. Actual displacement of marker and pixel difference between feature points
|
|
Get Citation
Copy Citation Text
Xinyu Liu, Zheng Yan, Fang Duan, Zhongying Dai. Tracking of Human Respiratory Motion Based on Kanade-Lucas-Tomasi Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221001
Category: Image Processing
Received: Feb. 5, 2020
Accepted: Mar. 27, 2020
Published Online: Nov. 3, 2020
The Author Email: Fang Duan (nkfetsh@gmail.com), Zhongying Dai (nkfetsh@gmail.com)