Autofocusing algorithm of interferogram based on object image and registration technology

Yang, Pengcheng; Fang, Suping; Zhu, Xindong; Komori, Masaharu; Kubo, Akiharu

doi:10.1364/ao.52.008723

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…27 Yang et al proposed a new autofocusing algorithm based on the object image and registration technology when measuring the form deviation of the helical tooth flank with laser interferometry. 28 Wu et al proposed a novel fast symbolic solution that can directly solve the eigenvalue and its associated eigenvector. 29 Zheng et al presented a new repair strategy for damaged turbine blades through improved ICP rigid registration algorithm.…”

Section: Introductionmentioning

confidence: 99%

A compensation method for the eccentricity and inclination errors of spiral bevel gear based on improved ICP algorithm

Liu

Chen

Fang

2021

Advances in Mechanical Engineering

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Due to the manufacturing and assembly errors of the spiral bevel gear, the deviations between the measured tooth surface and its theoretical tooth surface will affect the measurement results of the tooth surface. After analyzing the tooth surface deviation of spiral bevel gear, this paper provided a compensation method to compensate the eccentricity and inclination errors by the registration of the theoretical and measured tooth surface. An improved iterative closest point (ICP) algorithm for the registration of the tooth surface was provided. The distance between the point in measured tooth surface and the nearest point in theoretical tooth surface is used to replace the minimum Euclidean distance, and the damping Gauss-Newton method is used to solve the geometric transformation matrix. Simulation experiments were carried out to verify the proposed compensation method. The compensation effect is over 93% for the concave tooth surface and over 89% for the convex tooth surface of the spiral bevel gear. The results also show that the improved ICP algorithm could compensate the eccentricity and inclination errors of the spiral bevel gear more precisely than the basic ICP algorithm.

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Section: Introductionmentioning

confidence: 99%

A compensation method for the eccentricity and inclination errors of spiral bevel gear based on improved ICP algorithm

Liu

Chen

Fang

2021

Advances in Mechanical Engineering

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Fringe direction weighted autofocusing algorithm for gear tooth flank form deviation measurement based on an interferogram

et al. 2021

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When measuring the form deviation of the gear tooth flank with laser interferometry, due to the limitation of the depth of field of the lens, focused and defocused regions exist in the interferogram simultaneously. The introduced errors that were generated by these defocused regions decrease the measurement accuracy. Therefore, the evaluation of definition for interferograms is necessary for image processing. However, the gradient of gray, which performs by fringes, makes it difficult for traditional algorithms to evaluate its definition. This paper proposes a method based on nonsubsampled contourlet transformation (NSCT) combined with fringe direction as weighting coefficients to solve the problem. First, the information about the directions of these fringes in interferograms was evaluated. Then, the NSCT method was applied to interferograms so that several sub-images in different scales and directions can be achieved. Based on these sub-images and directions information, an improved function for definition evaluation was conducted. Lastly, a series of simulations and experiments was carried out to verify its feasibility and accuracy.

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Microscope autofocus algorithm based on number of image slope variations

Weng

et al. 2021

Opt. Express

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This paper presents a passive autofocus algorithm applicable to interferometric microscopes. The proposed algorithm uses the number of slope variations in an image mask to locate the focal plane (based on focus-inflection points) and identify the two neighboring planes at which fringes respectively appear and disappear. In experiments involving a Mirau objective lens, the proposed algorithm matched the autofocusing performance of conventional algorithms, and significantly outperformed detection schemes based on zero-order interference fringe in dealing with all kinds of surface blemish, regardless of severity. In experiments, the proposed algorithm also proved highly effective in cases without fringes.

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Autofocusing algorithm of interferogram based on object image and registration technology

Cited by 3 publications

References 8 publications

A compensation method for the eccentricity and inclination errors of spiral bevel gear based on improved ICP algorithm

A compensation method for the eccentricity and inclination errors of spiral bevel gear based on improved ICP algorithm

Fringe direction weighted autofocusing algorithm for gear tooth flank form deviation measurement based on an interferogram

Microscope autofocus algorithm based on number of image slope variations

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