Three-Dimensional Measurement Method for High Dynamic Range Surfaces Based on Adaptive Fringe Projection

Xu, Shaoyi; Feng, Tingyu; Xing, Fangfang

doi:10.1109/tim.2023.3269111

Cited by 7 publications

(3 citation statements)

References 31 publications

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“…In this study, a global adaptive high dynamic range imaging (HDR) [20,21] method is used to brighten coal mine underground belt conveyor images and coal mine roadway images and recover the details of their darker parts, which is represented in Equation (1) [22]:…”

Section: Image Low-light Processingmentioning

confidence: 99%

Research on Belt Deviation Fault Detection Technology of Belt Conveyors Based on Machine Vision

Wu,

Wang,

Tian

et al. 2023

Machines

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Traditional belt deflection detection devices for underground belt conveyors in coal mines have problems, such as their single function, poor fault location and analysis accuracy, low automation level, and low reliability. In order to solve the defects of traditional detection devices, the belt deviation faults of the underground belt conveyor transport process require to be detected effectively and reliably. This paper proposes a belt deviation detection method based on machine vision. This method makes use of a global adaptive high dynamic range imaging method to complete the brightness enhancement processing of the underground image. Then the straight-line features of the conveyor belt edges are extracted using Canny edge detection and the Hough transform algorithm. In addition, a dual-baseline localization judgment method is proposed to realize the identification of band bias faults. Finally, a test bench for belt conveyor deviation was built. Testing experiments for different deviations were conducted. The accuracy of the tape deviation detection reached 99.45%. The method proposed in this study improves the reliability of belt deviation fault detection of underground belt conveyors in coal mines and has wide application prospects in the field of coal mining.

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Section: Image Low-light Processingmentioning

confidence: 99%

Research on Belt Deviation Fault Detection Technology of Belt Conveyors Based on Machine Vision

Wu,

Wang,

Tian

et al. 2023

Machines

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“…Quickly and accurately acquiring a 3D point cloud of an object's surface is important in numerous fields, such as quality control, robotic assembly, medical treatment, virtual reality, and reverse engineering [1][2][3]. With the advantages of non-contact, high speed, and high accuracy, fringe projection profilometry (FPP) has become one of the most promising 3D imaging techniques.…”

Section: Introductionmentioning

confidence: 99%

Fast Three-Dimensional Profilometry with Large Depth of Field

Zhang,

Zhu,

Han

et al. 2024

Sensors

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By applying a high projection rate, the binary defocusing technique can dramatically increase 3D imaging speed. However, existing methods are sensitive to the varied defocusing degree, and have limited depth of field (DoF). To this end, a time–domain Gaussian fitting method is proposed in this paper. The concept of a time–domain Gaussian curve is firstly put forward, and the procedure of determining projector coordinates with a time–domain Gaussian curve is illustrated in detail. The neural network technique is applied to rapidly compute peak positions of time-domain Gaussian curves. Relying on the computing power of the neural network, the proposed method can reduce the computing time greatly. The binary defocusing technique can be combined with the neural network, and fast 3D profilometry with a large depth of field is achieved. Moreover, because the time–domain Gaussian curve is extracted from individual image pixel, it will not deform according to a complex surface, so the proposed method is also suitable for measuring a complex surface. It is demonstrated by the experiment results that our proposed method can extends the system DoF by five times, and both the data acquisition time and computing time can be reduced to less than 35 ms.

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“…However, this method approximates the reflection characteristics of pixels, and the adjustment of the projected image is overall regional, which cannot achieve precise adjustment at the pixel level. Xu et al [18] introduced a novel AFP measurement technique for speckle image pixel matching. Firstly, the adaptive projection intensity for the two grayscale modes is computed, and then speckle patterns are projected to match captured images and projected patterns.…”

Section: Introductionmentioning

confidence: 99%

A Phase Retrieval Method for 3D Shape Measurement of High-Reflectivity Surface Based on π Phase-Shifting Fringes

Zhang,

Sun

2023

Sensors

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Fringe projection profilometry (FPP) has been widely used for 3D reconstruction, surface measurement, and reverse engineering. However, if the surface of an object has a high reflectivity, overexposure can easily occur. Image saturation caused by overexposure can lead to an incorrect intensity of the captured pattern images, resulting in phase and measurement errors of FPP. To address this issue, we propose a phase retrieval method for the 3D shape measurement of high-reflectivity surfaces based on π phase-shifting fringes. Our method only requires eight images to be projected, including three single-frequency three-step phase-shifting patterns and one pattern used to provide phase unwrapping constraints, called conventional patterns, as well as the π phase-shifting patterns corresponding to the four conventional patterns, called supplemental patterns. Saturated pixels of conventional fringes are replaced by unsaturated pixels in supplemental fringes to suppress phase retrieval errors. We analyzed all 16 replacement cases of fringe patterns and provided calculation methods for unwrapped phases. The main advantages of our method are as follows: (1) By combining the advantages of the stereo phase unwrapping (SPU) algorithm, the number of projected fringes is reduced. (2) By utilizing the phase unwrapping constraint provided by the fourth fringe pattern, the accuracy of SPU is improved. For highly reflective surfaces, the experimental results demonstrate the performance of the proposed method.

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Three-Dimensional Measurement Method for High Dynamic Range Surfaces Based on Adaptive Fringe Projection

Cited by 7 publications

References 31 publications

Research on Belt Deviation Fault Detection Technology of Belt Conveyors Based on Machine Vision

Research on Belt Deviation Fault Detection Technology of Belt Conveyors Based on Machine Vision

Fast Three-Dimensional Profilometry with Large Depth of Field

A Phase Retrieval Method for 3D Shape Measurement of High-Reflectivity Surface Based on π Phase-Shifting Fringes

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