Development of a stereo vision system for non-contact railway concrete sleepers measurement based in holographic optical elements

Aguilar, Juan José; Lope, M.A.; Torres, Fernando; Blesa, Alfonso

doi:10.1016/j.measurement.2005.04.006

Cited by 19 publications

(9 citation statements)

References 10 publications

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“…Th e basic method implemented recently in the mobile diagnostics of the track is the vision method. As a rule, it is introduced to automate it, also when detecting damage to railway sleepers [1] and [17]. In more detailed considerations, automatic selection and classifi cation of damages of concrete sleepers is carried out, including three main stages: pre-processing, detection of damaged foundation and detection of damage itself [6].…”

Section: Railway Reportsmentioning

confidence: 99%

Preprocessing Algorithms of Vision Research Damage to Concrete Railway Sleepers

Lesiak¹,

Sokołowski²

2018

Problemy Kolejnictwa - Railway Reports

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Th e paper presents algorithms for the preprocessing of the visual method of detecting damages of concrete railway sleepers. It starts with acquiring images of the surface of the sleepers, by selecting the recorded frames of the images. Th en, the color image is transformed into monochrome, so as to obtain the highest contrast possible. Th e Kanan and Cottrell algorithms were used for this purpose. A simple way is to segment the damage images of the sleepers, by thresholding, in order to binarize them. However, more elaborate algorithms are recommended. For this purpose, images are denoted using a median fi lter and further morphological operations to extract the edge of damage. For this purpose, noise is removed from images using a median fi lter, and morphological operations are carried out, to extract the edge of damage. In addition, texture images of the surface of the sleepers are used, removing them from the visual content. As the criterion for selecting the preprocessing algorithm, the shape of the image histogram and its standard deviation were assumed. Such prepared images form the basis for further assessment of the size of damages (cracks and voids) and classifi cation of concrete sleepers.

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Section: Railway Reportsmentioning

confidence: 99%

Preprocessing Algorithms of Vision Research Damage to Concrete Railway Sleepers

Lesiak¹,

Sokołowski²

2018

Problemy Kolejnictwa - Railway Reports

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“…Podstawową metodą, wdrażaną od niedawna w mobilnej diagnostyce toru, jest metoda wizyjna. Z reguły wprowadza się jej automatyzację, również przy wykrywaniu uszkodzeń podkładów kolejowych [1,17]. W bardziej szczegółowych rozważaniach dokonuje się automatycznej selekcji i klasyfi kacji, obejmującej trzy główne etapy: preprocesingu, wykrywania uszkodzonego podkładu i wykrywania samego uszkodzenia [6].…”

Section: Wprowadzenieunclassified

Algorytmy preprocesingu badań wizyjnych uszkodzeń betonowych podkładów kolejowych

Lesiak¹,

Sokołowski²

2018

Problemy Kolejnictwa - Railway Reports

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“…Optical systems for capturing the geometry of free-form surfaces from 3D objects or design models and for quality inspection in prototype or series production have proven to be very important in industrial applications [1,2]. The techniques that have been used for distance measuring, has been the subject of numerous research projects and practical implementations.…”

Section: B Model Construction Of Measurement Instrumentmentioning

confidence: 99%

Research of Vision Localization and Measuring System for Magnetic Field Distribution

Liu

Zeng

Wang

et al. 2006

2006 9th International Conference on Control, Automation, Robotics and Vision

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According to the special measurement requirement of the magnetic field distribution of radar electromagnetic focusing system, an automatic measurement instrument based on vision localization has been developed. The principles of vision localization and model construction of measurement instrument are described. Two key points of nonlinear calibration and coordinate transformation are analyzed in detail, and some experiments based on this method are given. The application of the vision localization shows that it can calculate all the real coordinates of holes accurately. As a result, the three-dimensional rectangular robot can fulfill the measurement task perfectly.

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Development of a stereo vision system for non-contact railway concrete sleepers measurement based in holographic optical elements

Cited by 19 publications

References 10 publications

Preprocessing Algorithms of Vision Research Damage to Concrete Railway Sleepers

Preprocessing Algorithms of Vision Research Damage to Concrete Railway Sleepers

Algorytmy preprocesingu badań wizyjnych uszkodzeń betonowych podkładów kolejowych

Research of Vision Localization and Measuring System for Magnetic Field Distribution

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