Sub-Pixel Edge Detection Algorithm Based on Canny–Zernike Moment Method

Huang, Cheng; Jin, Wei; Xu, Qian; Liu, Ziqi; Xu, Zhiliang

doi:10.1142/s0218126620502382

Cited by 23 publications

(15 citation statements)

References 8 publications

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“…Three measurement methods, the traditional image measurement method, the wholepixel level image measurement method and the cubic spline interpolation based image measurement method were performed for measuring the shape and thickness of both standard samples and blade. Compared with other image measurement methods, the method based on cubic spline interpolation has the advantages of simple calculation process, short operation time and easy implementation [14,15] . Using the cubic spline interpolation algorithm to measure the wall thickness of the blade shows the advantages of high edge location accuracy, good detection effect and high dimension measurement accuracy.…”

Section: Sub-pixel High Precision Dimensional Measurement Methods For...mentioning

confidence: 99%

Sub-pixel high precision dimensional measurement method for aero-engine hollow turbine blade based on industrial computed tomography image

et al. 2022

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Turbine blades need to work at a temperature higher than 1,000 °C, to improve the heat resistance of turbine blades, most of the advanced aero-engine turbine blades adopt the design of thin-walled hollow structure [1] . Wall thickness is an important geometric index of hollow turbine blades, which directly affects the performance, safety and service life of the engine. Therefore, the detection of wall thickness has always been attractive in the research of turbine blade size detection [2] . To date, the main methods for measuring blade wall thickness are ultrasonic thickness measurement, and electromagnetic Hall effect method. The electromagnetic Hall effect method has low repeatability and cannot get measurement results with high consistency. Although the ultrasonic thickness measurement method is fast and simple, with high accuracy and efficiency of detection,

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Section: Sub-pixel High Precision Dimensional Measurement Methods For...mentioning

confidence: 99%

Sub-pixel high precision dimensional measurement method for aero-engine hollow turbine blade based on industrial computed tomography image

et al. 2022

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“…Positioning edge locations to pixel-level accuracy is also increasingly unsatisfactory. The sub-pixel edge detection algorithm is used to first coarsely localize the image edges to the pixel level using an integer pixel edge detection algorithm, and then the pixel, the basic unit, is subdivided by analyzing the grey values around the integer pixel so that the edges are localized to the sub-pixel level [15].…”

Section: Sub-pixel Level Edge Measurement Algorithm Based On Cubic Spline Interpolationmentioning

confidence: 99%

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

Zheng

Yin

et al. 2021

Applied Sciences

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Current O-ring dimension measurement algorithms based on machine vision are mainly whole-pixel level algorithms, which have the disadvantage of a low measurement accuracy. In order to improve the stability and accuracy of O-ring dimension measurement, a sub-pixel edge detection algorithm based on cubic spline interpolation is proposed for O-ring dimension measurement. After image pre-processing of the O-ring graphics, the whole-pixel-level O-ring edges are obtained by using a noise-resistant mathematical morphology method, and then the sub-pixel edge contours are obtained using a sub-pixel edge detection algorithm based on cubic spline interpolation. Finally, the edge curve is fitted with the least squares method to obtain its inner and outer diameter as well as the size of the wire diameter. The experimental data show that the algorithm has a mean square error of 4.8 μm for the outer diameter and 0.18 μm for the wire diameter. The outer diameter error is kept within ± 100 μm and the wire diameter error can be kept within ±15 μm. Compared with the whole pixel algorithm, the measurement accuracy has been greatly improved.

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“…In addition, In the research of spindle speed and feed rate on the surface finish quality of kenaf fiber-reinforced composites, M. M. Ratnam et al detected the pin gauges using the invariant moment sub-pixel edge detection method [16]. And Huang et al proposed a sub-pixel edge detection algorithm based on Canny-Zernike moment [17].…”

Section: Related Workmentioning

confidence: 99%

A Novel Sub-pixel Refinement Method for Fillet Weld Under Structured Light Vision

Shengfeng

Chen

Liu

2021

Preprint

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Intelligent welding robots based on structured light vision are widely used in industrial production. With the demands of low cost, miniaturization and flexibility, the development of embedded structured light vision systems for seam tracking is a general trend. The core is how to efficiently and precisely position weld seam with low-configuration hardware. Sub-pixel refinement can break through the limitation of physical resolution, while also reducing hardware cost to achieve the required accuracy. To fill the gap in the sub-pixel refinement for fillet weld joint, a novel sub-pixel refinement method for fillet weld joint under structured light vision is proposed, which can sub-pixel refine the fillet weld joint under various working conditions. The main novelties of the proposed method include: (1) a novel sub-pixel refinement method for fillet weld joint by using Mean Shift, weighted least square and directional maximum projection is proposed, which is robust, universal, and accurate. (2) A directional maximum projection algorithm for refining weld is proposed for the first time. (3) The method can accurately refine fillet weld joint with low-resolution image. The proposed method is robust, universal, and accurate, and as demonstrated by the following performances: the average and maximum bias are 0.73 and 3 pixels in the accurate test, positioning accuracy rate is 100% in the test of noise-free, rusty, highly reflective and arc radiation-and-spatter working conditions. the method can be expanded to a common sub-pixel refinement method for structured light intersections through simple transformation.

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Sub-Pixel Edge Detection Algorithm Based on Canny–Zernike Moment Method

Cited by 23 publications

References 8 publications

Sub-pixel high precision dimensional measurement method for aero-engine hollow turbine blade based on industrial computed tomography image

Sub-pixel high precision dimensional measurement method for aero-engine hollow turbine blade based on industrial computed tomography image

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

A Novel Sub-pixel Refinement Method for Fillet Weld Under Structured Light Vision

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