Active phase error suppression for color phase-shifting fringe projection based on hue pre-correction

Wan, Yingying; Cao, Yiping; Chen, Cheng; Wang, Yapin; Fu, Guangkai; Wang, Lu; Li, Chengmeng

doi:10.1016/j.optlastec.2019.05.014

Cited by 17 publications

(8 citation statements)

References 27 publications

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“…To improve accuracy, the input gray of the system is selected in the area with better linearity, which is the middle part [100,226]. According to Equations ( 5) and ( 6), it can be obtained as shown in Equation (8).…”

Section: Parameter Calculationmentioning

confidence: 99%

“…7 The defocusing method mainly deals with the error brought by the gamma factor itself. 8 The passive phase error correction method does not interfere with the entire measured fringe, but calculates the error caused by these fringes, [9][10][11][12][13][14] while the active phase error correction method directly compensates for nonlinear errors caused by the gamma factor in the output process by modifying the input fringes, including reverse phase method, precoding method, [15][16][17] and so forth.…”

Section: Introductionmentioning

confidence: 99%

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A novel method for obtaining gamma precoding values

Liu

et al. 2023

Micro & Optical Tech Letters

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The grating projection‐based three‐dimensional (3D) measurement technique has been widely used in various fields, such as industrial inspection, cultural relic protection, and reverse engineering. However, due to the nonlinear response between the input and output of the measurement system, phase measurement errors occur, which reduces the accuracy of 3D reconstruction, which is known as the gamma effect. To address this issue, a novel method has been proposed to reduce the nonlinear response of the system. Ultimately, this method reduces the impact of the gamma value on the phase accuracy in subsequent measurements. Experimental results have shown that this method can quickly calibrate the correct precoding gamma value, effectively reduce the gamma nonlinear response during the measurement process, and improve measurement accuracy.

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Section: Parameter Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel method for obtaining gamma precoding values

Liu

et al. 2023

Micro & Optical Tech Letters

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show abstract

“…ey partitioned the dynamic range of the scene and the display device. Firstly, the dynamic range of the display device was divided into 11 regions, and then the average log value of the scene brightness was corresponding to region 5, and the dynamic range of the scene was divided into regions according to the maximum and minimum brightness values in the scene [12]. At present, there are many filtering technologies, but there is still no one to achieve a wide range of applications, so the problem that needs to be considered is how to enhance the adaptive filter, so that the filter noise elimination effect is improved and tends to be stable.…”

Section: Related Workmentioning

confidence: 99%

Colour Recognition Algorithm Based on Colour Mapping Knowledge for Wooden Building Image

Jia

Chen

2022

Scientific Programming

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In the cross-media image reproduction technology, the accurate transfer and reproduction of colour between different media are an important issue in the reproduction process, and the colour mapping technology is the key technology to effectively maintain the image details and improve the level of colour reproduction. Wooden structure in the image colour and colour piece is different, the image of each colour of visual perception is not independent, and every colour in the image pixels is affected by the surrounding pixels, but in the process of image map, without thinking of the pixel space, adjacent pixels of mutual influence in particular, do not let a person particularly be satisfied with the resulting map figure. In the process of image processing by traditional colour mapping algorithm, the colour distortion caused by colour component is ignored and the block diagram of colour mapping system is constructed. With the continuous development of mapping recognition algorithms, the maximum and minimum brightness values in the image are mapped to the maximum and minimum brightness values of the display device by linear mapping algorithm according to the flow of the established recognition algorithm. By establishing the colour adjustment method of the colour mapping image, the processing effect of the mapping algorithm is analysed. The results show that the brightness deviation of the image is reduced and the colour resolution is improved by the colour brightness compensation.

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“…This method has been explored when different numbers of fringes are projected on each channel by Zhang [24]. On the other hand, Wan et al [25] presented an active phase error suppression method based on hue precorrection. The hue is precorrected to be linear by measuring the function of the combined effect and modifying the computer-generated hue according to the source-distorted relationship.…”

Section: Introductionmentioning

confidence: 99%

Blind Crosstalk Correction for Color Fringe Projection Profilometry Combining the Sine and Cosine Phase-Shifting Patterns

Yang

Zhang

et al. 2022

Journal of Sensors

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Color crosstalk is challenging for color fringe projection profilometry, which will cause color imbalance and phase-shift deviation, thus resulting in phase error. To address this challenge, this paper presents a blind crosstalk correction method for color phase-shifting fringe projection profilometry without crosstalk calibration. Three channels of the color fringe are firstly normalized to resolve color imbalance. The phase error induced by phase-shift deviation between three channels doubles the frequency of the color fringe. Therefore, the original cosine color fringe is shifted by quarter period to generate another sine color fringe to compensate the periodic phase error. Both simulations and experiments were carried out, and their results confirmed the effectiveness and accuracy of the proposed method.

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Active phase error suppression for color phase-shifting fringe projection based on hue pre-correction

Cited by 17 publications

References 27 publications

A novel method for obtaining gamma precoding values

A novel method for obtaining gamma precoding values

Colour Recognition Algorithm Based on Colour Mapping Knowledge for Wooden Building Image

Blind Crosstalk Correction for Color Fringe Projection Profilometry Combining the Sine and Cosine Phase-Shifting Patterns

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