Application of the morphological alpha shape method to the extraction of topographical features from engineering surfaces

Lou, Shan; Jiang, Xiangqian; Scott, Paul J.

doi:10.1016/j.measurement.2012.09.015

Cited by 65 publications

(39 citation statements)

References 14 publications

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“…Zhou, Yan, & Hao, 2012;Weiqiang Zhou & Yan, 2010. In addition, α-Shape have equally been engaged in studying structures in proteins (Cheng & Shi, 2009;De-Alarcón, Pascual-Montano, Gupta, & Carazo, 2002;Pérot, Sperandio, Miteva, Camproux, & Villoutreix, 2010;Rohs et al, 2009;Wilson, Bender, Kaya, & Clemons, 2009), surface area and volume (J Liang, Edelsbrunner, Fu, Sudhakar, & Subramaniam, 1998;Lou, Jiang, Scott, & Paul, 2013;Nikkilä, Polishchuk, & Krasnoshchekov, 2014;Pesaresi & Schwingshackl, 2014), pockets (H Edelsbrunner, Facello, & Liang, 1998, as well as www.ccsenet.org/mas…”

Section: Alpha Shape (α-Shape)mentioning

confidence: 99%

Hybrid Methodology for Image Segmentation Based on Active Contour Module and Alpha-Shape Theory

Al-Tamimi¹

2016

MAS

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The concept of the active contour model has been extensively utilized in the segmentation and analysis of images. This technology has been effectively employed in identifying the contours in object recognition, computer graphics and vision, biomedical processing of images that is normal images or medical images such as Magnetic Resonance Images (MRI), X-rays, plus Ultrasound imaging. Three colleagues, Kass, Witkin and Terzopoulos developed this energy, lessening "Active Contour Models" (equally identified as Snake) back in 1987. Being curved in nature, snakes are characterized in an image field and are capable of being set in motion by external and internal forces within image data and the curve itself in that order. The present study proposes the use of a hybrid image segmentation technique to acquire precise segmentation outcomes, while engaging "Alpha Shape (α-Shape)" in supposition to derive the original contour, followed by a refining process through engaging a conventional active contour model. Empirical results show high potential in the suggested computational method. Trials indicate that the primary contour is capable of being precisely set next to the objective contour and effectively have these objective contours extracted, devoid of any contour instigation. Some of the benefits associated with the novel hybrid contour include minimized cost of computation, enhanced anti-jamming capability, as well as enlarged utilization array of snake model.

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Section: Alpha Shape (α-Shape)mentioning

confidence: 99%

Hybrid Methodology for Image Segmentation Based on Active Contour Module and Alpha-Shape Theory

Al-Tamimi¹

2016

MAS

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“…In this aspect, it resembles the "mean" surface generated by convolution techniques. Morphological operations were successfully employed to extract topographical features from engineering surfaces (Lou et al, 2013c). They can also give an approximation to the form of conformable surfaces in a functional sense of sealing (Malburg, 2003).…”

Section: Morphological Operationsmentioning

confidence: 99%

A theoretical insight into morphological operations in surface measurement by introducing the slope transform

Lou

Jiang

Zeng

et al. 2015

J. Zhejiang Univ. Sci. A

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As one of the tools for surface analysis, morphological operations, although not as popular as linear convolution operations (e.g., the Gaussian filter), are really useful in mechanical surface reconstruction, surface filtration, functional simulation, etc. By introducing the slope transform originally developed for signal processing into the field of surface metrology, an analytic capability is gained for morphological operations, paralleling that of the Fourier transform in the context of linear convolution. Using the slope transform, the tangential dilation is converted into the addition in the slope domain, just as by the Fourier transform, the convolution switches into the multiplication in the frequency domain. Under the theory of the slope transform, the slope and curvature changes of the structuring element to the operated surface can be obtained, offering a deeper understanding of morphological operations in surface measurement. The analytical solutions to the tangential dilation of a sine wave and a disk by a disk are derived respectively. An example of the discretized tangential dilation of a sine wave by the disks with two different radii is illustrated to show the consistency and distinction between the tangential dilation and the classical dilation.

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“…roughness, waviness, form, and surface defects. Whilst separation of roughness, waviness and form components is usually conducted by the mean-line based filters [1], discrete detection of surface defects is also crucial because they may play very important roles in functional performance. Inspection of surface defects is a crucial task for aerospace industries, in terms of product quality, production efficiency, and performance efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Once defects have been identified, it is important to accurately extract the defect from the surface. Several algorithms have been developed and published for defect detection in images [5][6][7] as well as different filtration techniques set out in the ISO 16610 series of standards [8] to aid the characterization of surface features [1] [9]. This can also be adopted to detect surface defects.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent and Confident System for Automatic Surface Defect Quantification in 3D

Tailor

Petzing

Jackson

2015

KEM

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Abstract:Automatic surface defect inspection within mass production of high-precision components is growing in demand and requires better measurement and automated analysis systems. Many manufacturing industries may reject manufactured parts that exhibit even minor defects, because a defect might result in an operational failure at a later stage. Defect quantification (depth, area and volume) is a key element in quality assurance in order to determine the pass or failure criterion of manufactured parts. Existing human visual analysis of surface defects is qualitative and subjective to varying interpretation. Non-contact and three dimensional (3D) analyses should provide a robust and systematic quantitative approach for defect analysis. Various 3D measuring instruments generate point cloud data as an output, although they work on different physical principles. Instrument's native software processing of point cloud data is often subject to issues of repeatability and may be non-traceable causing significant concern with data confidence.This work reports the development of novel traceable surface defect artefacts produced using the Rockwell hardness test equipment on flat metal plate, and the development of a novel, traceable, repeatable, mathematical solution for automatic defect detection and quantification in 3D. Moreover, in order to build-up the confidence in automatic defect analysis system and generated data, mathematical simulated defect artefacts (soft-artefact) have been created. This is then extended to a surface defect on a piston crown that is measured and quantified using a parallel optical coherence tomography instrument integrated with 6 axis robot. The results show that surface defect quantification using implemented solution is efficient, robust and more repeatable than current alternative approaches.

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Application of the morphological alpha shape method to the extraction of topographical features from engineering surfaces

Cited by 65 publications

References 14 publications

Hybrid Methodology for Image Segmentation Based on Active Contour Module and Alpha-Shape Theory

Hybrid Methodology for Image Segmentation Based on Active Contour Module and Alpha-Shape Theory

A theoretical insight into morphological operations in surface measurement by introducing the slope transform

An Intelligent and Confident System for Automatic Surface Defect Quantification in 3D

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