A high-accuracy circular hole measurement method based on multi-camera system

Tao, Liming; Xia, Renbo; Zhao, Jibin; Zhang, Tao; Li, Yinghao; Chen, Yueling; Fu, Shengpeng

doi:10.1016/j.measurement.2022.112361

Cited by 10 publications

(3 citation statements)

References 25 publications

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“…Due to the complex surface conditions of sheet metal parts, the sub-pixel edge detection algorithm has poor adaptability to edges marked and scratched in the neighborhood of the parts [18]. MVS vision can provide redundant information based on different images to improve measurement stability.…”

Section: Robust Mvs Matching Algorithmmentioning

confidence: 99%

“…Multi-camera systems can greatly alleviate the ellipse detection and fitting errors caused by an excessive tilt angle and extract the edge robustly according to the redundant information of images with different qualities [15][16][17][18]. Bergamasco et al [15] designed a five-camera system for the quick and accurate online inspection of the end face of a pipe.…”

Section: Introductionmentioning

confidence: 99%

“…The dependence on the feature model made it difficult to perform model-free measurement tasks. Tao et al [18] designed a 10-camera system to measure multiple circular holes simultaneously. Based on the study of Xia et al [13], steps such as unbiased ellipse fitting and ellipse verification were added to improve the measurement accuracy in the large field of view.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An accurate novel circular hole inspection method for sheet metal parts using edge-guided robust multi-view stereo

Wu,

Dong,

Cao

et al. 2023

Meas. Sci. Technol.

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Sheet metal parts are frequently used in the industrial field, and the circular holes on these parts are commonly employed as assembly references. Therefore, precise measurement of these circular holes is essential. Because of the scratches, rust, and complex reflection around the edges, the measurement of circular holes on sheet metal parts is a challenging task. In this research, an accurate circular hole inspection method for sheet metal parts is proposed to realize online inspection using a multi-camera system. After capturing images in a single shot, edge detection is adopted to obtain sub-pixel circular hole contours. A new adaptive matching cost based on the descriptor of binary robust independent elementary features and bilinear normalized cross-correlation is introduced to the PatchMatch-based multi-view stereo method to obtain dense and accurate point clouds. To improve the accuracy and integrity of circular hole measurement, a new edge-guided multi-scale geometric consistency matching strategy is proposed accompanied by depth detail restoration. Finally, the points around the circular hole in a spherical range are sampled using the trinocular constraint principle and fitted with the circular equation. The experimental results show that the proposed algorithm performs well, with an error of approximately 0.04 mm, and improves the measurement accuracy compared with the state-of-the-art algorithms.

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Section: Robust Mvs Matching Algorithmmentioning

confidence: 99%