Orthogonal moment operators for subpixel edge detection

Ghosal, S.; Mehrotra, R.

doi:10.1016/0031-3203(93)90038-x

Cited by 230 publications

(119 citation statements)

References 15 publications

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“…The target tracking algorithm is based on edge detection using the Sobel-Zernike moment operator (Ghosal and Mehrotra, 1993;Ying-Dong et al, 2005) with a region of interest including a small cable segment selected for tracking. An arbitrary direction, e.g., normal to an identified edge was assumed as the cable motion direction and the distance between identified edges within two frames corresponded to the cable motion projected in the image which inherently has subpixel resolution.…”

Section: Non-proprietary (Open Source) Optical Deformation Monitoringmentioning

confidence: 99%

Vision-Based Bridge Deformation Monitoring

Brownjohn

Hester

2017

Front. Built Environ.

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Optics-based tracking of civil structures is not new, due to historical application in surveying, but automated applications capable of tracking at rates that capture dynamic effects are now a hot research topic in structural health monitoring. Recent innovations show promise of true non-contacting monitoring capability avoiding the need for physically attached sensor arrays. The paper reviews recent experience using the Imetrum Dynamic Monitoring Station (DMS) commercial optics-based tracking system on Humber Bridge and Tamar Bridge, aiming to show both the potential and limitations. In particular, the paper focuses on the challenges to field application of such a system resulting from camera instability, nature of the target (artificial or structural feature), and illumination. The paper ends with evaluation of a non-proprietary system using a consumer-grade camera for cable vibration monitoring to emphasize the potential for lower cost systems where if performance specifications can be relaxed.

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Section: Non-proprietary (Open Source) Optical Deformation Monitoringmentioning

confidence: 99%

Vision-Based Bridge Deformation Monitoring

Brownjohn

Hester

2017

Front. Built Environ.

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“…To increase the precision of edge detection, several subpixel techniques had been proposed, including curve-fitting, moment-based [3][4][5][6], reconstructive [7] and partial area effect methods [8]. These methods have their characteristics.…”

Section: Introductionmentioning

confidence: 99%

Sub-pixel Edge Detection of LED Probes Based On Partial Area Effect

Su¹,

Lan²,

Chen³

et al. 2015

Proceedings of the 1st International Conference on Industrial Networks and Intelligent Systems

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Abstract-In recent years, the demands for LED are increasing. For testing the quality of LEDs, a lot of LED probes are necessary, so the high precision and efficient methods are paid more attention by industrial applications. This paper is focused on the measurement of the angle and the radius of a LED probe by computer vision. In previous paper, we proposed an effective method based on Canny edge detection and curve fitting method with iteration. In this paper we add a new sub-pixel edge detection method: partial area effect. We improve the preciseness of angle from error 2.3% to 1.43% and enhance the accuracy of radius more than 30%.

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“…As they capture global features have been widely used in applications such as object classification, image and shape analysis and edge detection [2][3][4][5][6][7][8]. However, since GMs are non-orthogonal, a set of continuous orthogonal moments including Zernike and Legendre moments was introduced by Teague [9].…”

Section: Introductionmentioning

confidence: 99%

“…It also describes the recurrence equations for the desired filter outputs. The work shows the digital filter design used in [3] and [4], and shows the implementation of the proposed architecture. Finally, the computation results of the proposed method and the method used in [3] is illustrated.…”

Section: Introductionmentioning

confidence: 99%