Abstract
In the process of the structured light detection, it is affected by many factors such as the light source, object to it-self and environmental noise, which result in poor imaging quality. For this reason, the Radon transformation of multi angle is adopted to get the transform domain image, after obtaining the information of the oblique angle of the structured light stripes. After that the singular points unrelated to the target stripes are eliminated in the transform domain image. Then the processed transform domain image is restored and the noise is eliminated. At the same time, the above-mentioned structured light images are pre-processed by several existing means to eliminate noise. Then compared with the traditional methods, the superiority of the Radon transformation in eliminating noise interference is highlighted by using the reliability evaluation scheme to evaluate the quality of the processed images. Finally, aiming at the other shortcomings in the Radon transformed image and further improving the image quality, the restored images are handled by the gray-scale transformation enhancement to enhance the overall gray level of the image. The experimental results show that the imaging quality of the image processed by the above methods is significantly improved.
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Acknowledgements
This work was supported by the National Natural Science Foundation Program of China (No. 51575523).
I am profoundly indebted to a number of people. The thesis would not have been completed without their assistance and encouragement. I am deeply grateful to my tutor, Professor Tang, whose instruction and advice have guided me through each step of my writing. My profound gratitude also goes to some of my teachers and friends who have selfless and generously helped me with my thesis. They are Professor Cao, Professor Shao, Professor Wang, Dr. Deng, Teacher Su, etc.
Funding
This study was funded by the National Natural Science Foundation Program of China (grant number No. 51575523).
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Author Chao Ding declares that he has no conflict of interest. Author Liwei Tang declares that he has no conflict of interest. Author Lijun Cao declares that he has no conflict of interest. Author Xinjie Shao declares that he has no conflict of interest. Author Wei Wang declares that he has no conflict of interest. Author Shijie Deng declares that he has no conflict of interest. We declare that we do not have any commercial interest that represents a conflict of interest in connection with the work submitted.
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Ding, C., Tang, L., Cao, L. et al. Preprocessing of multi-line structured light image based on Radon transformation and gray-scale transformation. Multimed Tools Appl 80, 7529–7546 (2021). https://doi.org/10.1007/s11042-019-08031-z
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DOI: https://doi.org/10.1007/s11042-019-08031-z