Preprocessing of multi-line structured light image based on Radon transformation and gray-scale transformation
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Preprocessing of multi-line structured light image based on Radon transformation and gray-scale transformation Chao Ding1
· Liwei Tang1 · Lijun Cao1 · Xinjie Shao1 · Wei Wang1 · Shijie Deng1
Received: 11 September 2018 / Revised: 2 June 2019 / Accepted: 19 July 2019 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
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 preprocessed 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. Keywords Multi-line structured light image · Radon transformation · Gray-scale transformation · Reliability evaluation
1 Introduction The multi-line structured light detection is one of the key technologies of optical threedimensional (3D) detection, which is commonly used in the accurate measurement of the surface geometry of industrial products. However, because of the interference of light source Chao Ding
[email protected] Liwei Tang [email protected] 1
Shijiazhuang Mechanical Engineering College, 97 Heping West Road, Shijiazhuang, China
Multimedia Tools and Applications
error, surface shape, material and environmental noise in the detection process, there are many shortcomings in the effect of image acquisition [7, 10]. These defects seriously affect the extraction of useful information in the image, and then affect the subsequent processing of the image. Therefore, it is a key problem in the field of optical 3D detection that how to obtain a high quality structured light image [12, 19]. In order to work out the above problems, the traditional solution is to make a breakthrough in hardware by constantly updating the hardware detection equipment to obtain a high-quality image. This method is appropriate and effective. Nevertheless, it is difficult to be durable, because the price of the related detection equipment is expensive, and the update is frequent. The above method is easy to cause serious w
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