Research on O-ring Dimension Measurement Algorithm Based on Cubic Spline Interpolation

Hu, Haibing; Zheng, Xipeng; Yin, Jiajie; Wang, Yueyan

doi:10.3390/app11083716

Cited by 10 publications

(2 citation statements)

References 20 publications

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“…Hu et al mounted the camera onto an adjustable bracket and captured a clear image of the O-ring using the front and rear lighting LEDs. By employing three spline interpolations [11], the measured outer diameter error remained within 0.1 mm. Li et al positioned the back-illuminated workpiece on a rotary table to facilitate the dimensional measurement of the groove of the inner wire joint.…”

Section: Introductionmentioning

confidence: 82%

Research on the Precision Measurement Method of Flat Screen Gap Based on Mobile Vision

Wang

Yang

et al. 2023

Applied Sciences

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In view of the problem that the measurement accuracy of screen gaps is affected by the R region of the transition rounded corner of the large-size flat back cover, a mobile vision system with dual linear motor synchronous drive is designed to realize precise positioning of monocular vision in 16 local image acquisition positions set in the R region. Full-size measurement of the R region is achieved using local information fusion to accurately measure the screen gap. First, to solve the problem of edge breaking and the blurring of local images, a region extraction and segmentation method based on block statistics is proposed to quickly obtain accurate outer edges. Then, an adaptive Hough line detection method based on dichotomy is proposed to accurately locate the outer edges. The experimental results show that the accuracy of region extraction and segmentation is up to 99.68% within 60 ms; the angle error and position error of line detection are less than 0.01° and 0.2 pixels, respectively. With optimal anti-interference performance, the proposed algorithm realizes the adaptive and accurate positioning of the outer edge within 200 ms; the measurement time and the measurement error of the measurement system are less than 6.0 s and 0.03 mm, respectively.

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Section: Introductionmentioning

confidence: 82%

Research on the Precision Measurement Method of Flat Screen Gap Based on Mobile Vision

Wang

Yang

et al. 2023

Applied Sciences

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“…As the conditions, the first and second derivatives at the inner knots are both continuous so that the obtained interpolation functions have smoothest curve compared with the abovementioned algorithms. 42 Due to this reason, CSI has been successfully applied in many fields such as structural damage identification, 43 fault location, 44 circular size detection, 45 and so on.…”

Section: Background Of Methodologymentioning

confidence: 99%

Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification

Song

Yuan

et al. 2022

Structural Health Monitoring

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As a powerful tool, dispersion entropy (DE) has good capability to measure the irregularity and complexity of nonlinear systems, so it is extensively utilized in the field of structural health monitoring. However, traditional multiscale dispersion entropy (MDE) will suffer from down-sampling as the scale factor increases, which compresses some intrinsic feature information, so that the representation ability of MDE for nonlinear system is significantly restrained. Aiming at this problem, a new method called cubic spline interpolation-based refined composite multiscale dispersion entropy (CSIRCMDE) is proposed. In this frame, the coarse-graining series are regarded as knots to calculate the interpolative points in different sub-sections. Then, the obtained coarse-graining samples and interpolative samples are used to construct interpolation series to capture the potential vibration characteristics and constrain the down-sampling phenomenon. Finally, the first coarse-graining point is gradually shifted back to make multiple groups of interpolation series, and the entropy values are rectified by calculating mean pattern probabilities at the same scale. Through these steps, CSIRCMDE can grasp sufficient feature information to reduce entropy errors and overcome the dependence on sample size compared with traditional algorithms, which is demonstrated by simulation and noise signals. Furthermore, two types of bearing damage experiments prove that CSIRCMDE has good capability to characterize the bearing states, therefore, based on the proposed algorithm, the classification model that can fully identify different bearing faults is established.

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Sub-Pixel counting based diameter measurement algorithm for industrial Machine vision

Poyraz,

Kaçmaz,

Gürkan

et al. 2024

Measurement

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Research on O-ring Dimension Measurement Algorithm Based on Cubic Spline Interpolation

Cited by 10 publications

References 20 publications

Research on the Precision Measurement Method of Flat Screen Gap Based on Mobile Vision

Research on the Precision Measurement Method of Flat Screen Gap Based on Mobile Vision

Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification

Sub-Pixel counting based diameter measurement algorithm for industrial Machine vision

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