Single-shot real-time three dimensional measurement based on hue-height mapping

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

doi:10.1016/j.optcom.2018.01.042

Cited by 18 publications

(5 citation statements)

References 28 publications

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“…Colour mapping algorithms can be divided into two types: one is spatial invariant algorithm, also known as global dynamic range compression. is algorithm applies the same transformation curve to each pixel when transforming the dynamic range of the image [19]. e transformation curve can be specified in advance or obtained according to the content of the image.…”

Section: Overview Of Colour Map Recognition Algorithmmentioning

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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Section: Overview Of Colour Map Recognition Algorithmmentioning

confidence: 99%

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

Jia

Chen

2022

Scientific Programming

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“…Wang [17] proposed a contamination correction algorithm based on a specific calibration that was performed on the different color layers (R layer, G layer, and B layer) of the raw color image to reduce the contaminated intensity of each color illumination on the other two color layers. Wan [18] utilized hue information of RGB channels to decode a color phase shift pattern for 3D measurement, but not considers the color imbalance, which decreases 3D measurement precision.…”

Section: Introductionmentioning

confidence: 99%

Point-to-point coupling and imbalance correction in color fringe projection profilometry based on multi-confusion matrix

Zhu

Zhao

Zhang

et al. 2021

Meas. Sci. Technol.

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Fringe projection profilometry (FPP) has been widely used in three-dimensional (3D) profile measurements for its efficiency and high accuracy. As an offshoot of FPP, color fringe projection profilometry (CFPP) has the advantage of being dynamic, non-contact, and full-field, which makes it one of the most valuable 3D profile measurement techniques. However, phase errors may arise in CFPP when the phase is retrieved by phase-shifting algorithms. This is due to the gamma nonlinear response, color coupling, and color imbalance of electro-optical devices. In this paper, a multi-confusion matrices (MCM) correction technique is proposed to reduce the phase error by compensating the captured color fringe pattern intensity. This can be accomplished in three steps. Firstly, project 30 ~220 (with the step of ten gray levels) uniform intensity patterns on a calibration plate, and then extract the intensity information to construct multi-confusion matrices (MCM) and LUTs (look up tables). Secondly, search optimal confusion matrix (OCM) from MCM to correct the fringe pattern. Finally, retrive the unwrapping phase using the corrected fringe pattern. The simulation and experimental results indicate that the proposed approach can reduce phase errors and use one color fringe pattern to reconstruct 3D topography.

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“…Li et al proposed a computer-generated Moiré Profilometry to get the 3D shape of the objects [15,16]. Wan et al proposed a single-shot 3D measurement based on hue-height mapping [17]. This method calculated the phase with the hue information of the color fringe pattern pixels to obtain the height distribution.…”

Section: Introductionmentioning

confidence: 99%

“…When this color composite grating is used to measure objects, the image sensor captures a corresponding color deformed pattern and sends it to the PC to achieve 3D measurement. It may be introduced some errors by the existences of sensitivity differences and color crosstalk [17][18][19][20][21][22][23] among the tricolor channels in the measuring process, which are manifested in the inconsistency of the intensity of the tricolor components of the color deformed pattern. Many scholars have proposed corresponding correction algorithms to solve these problems of the existences of sensitivity differences and color crosstalk.…”

Section: Introductionmentioning

confidence: 99%

A Single-Shot 3D Measuring Method Based on Quadrature Phase-Shifting Color Composite Grating Projection

et al. 2021

Self Cite

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A single-shot three-dimensional measuring method based on quadrature phase-shifting color composite grating projection is proposed. Firstly, three quadrature phase-shifting sinusoidal gratings are encoded in red (R), green (G), and blue (B) channels respectively, composed single- frame color composite grating. This color composite grating is projecting obliquely on the object by DLP. After that, the color camera which is placed in a specific location is used to capture the corresponding color deformed pattern and send it to the PC. Then, by color separation, the color deformed pattern is demodulated as the corresponding three-frame monochromatic deformed patterns with a shifted quadrature phase. Due to the existences of sensitivity differences and color crosstalk among the tricolor channels, we propose a gray imbalance correction method based on the DC component’s consistency approximation. By the established 3D reconstruction physical model, the measurement of 3D shape can be achieved. Many experimental results for static and moving objects prove the proposed method’s feasibility and practicability. Owing to the single-shot feature of the proposed method, it has a good application prospect in real-time and high-speed 3D measurement.

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Single-shot real-time three dimensional measurement based on hue-height mapping

Cited by 18 publications

References 28 publications

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

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

Point-to-point coupling and imbalance correction in color fringe projection profilometry based on multi-confusion matrix

A Single-Shot 3D Measuring Method Based on Quadrature Phase-Shifting Color Composite Grating Projection

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