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Journal ArticleDOI

Identification of defects on highly reflective coated ring components using dark field illumination and image segmentation using simple thresholding technique

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TLDR
In inspection of highly reflective chrome coated rings used in textile machinery using machine vision, it was observed that the classification of defects using dark field illumination was very effective for this particular case and the results are presented.
Abstract
This paper deals with inspection of highly reflective chrome coated rings used in textile machinery using machine vision. These rings are mass produced in very large numbers in a textile machinery manufacturing company and the inspection was carried out manually using optical methods. Introduction of automated vision inspection had not helped the industry fully to achieve 100% quality inspection. Moreover, the whole procedure had to be made quicker in view of the number of components manufactured which is of the order of hundreds of thousands and to be inspected 100% thereafter. Also in order to improve inspection speed and to ensure 100% quality inspection, it was absolutely essential to improve the complete inspection process. Also a proper sorting algorithm was to be considered to classify defective and non-defective components. The effect of curvature, reflective nature of material and the real-time inspection make the imaging and defect detection and classification difficult. The use of dark field illumination has been tried out in this work to quicken the process of defect detection and also to improve the accuracy of detection. The images of the defects captured using a CCD camera of the inner and outer surfaces of the coated ring components have been analysed. The images were subjected to a simple thresholding technique to segment out defects, thus avoiding the use of complex image processing algorithms. It was observed that the classification of defects using dark field illumination was very effective for this particular case and the results as well as analysis of the same are presented in this paper.

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Development of a confocal line-scan laser scattering probe for dark-field surface defects detection of transmissive optics.

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References
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Journal ArticleDOI

Dark-field imaging with cylindrical-vector beams

TL;DR: A through-focus comparison of azimuthal and radial polarization shows a measurable dependence of edge separation on polarization.
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Real-time defect detection on highly reflective curved surfaces

TL;DR: This paper presents an automated defect detection system for coated plastic components for the automotive industry, introducing a simplified mirror set-up in order to reduce the costs and the complexity of the defect Detection system.
Journal ArticleDOI

Vision system for defect imaging, detection, and characterization on a specular surface of a 3D object

TL;DR: A vision system capable of imaging, detecting, and characterizing defects onto highly reflective, non-plane surfaces, is presented, which allows imaging defects on various-shaped objects.
Journal ArticleDOI

Machine vision system for curved surface inspection

TL;DR: A non-contact 3D range data measurement system will act as an additional system module, which can be integrated into the existing 2D grading system, providing the additional third dimension to detect deformities in the herring roe, which were not detected in the 2D analysis.
Journal ArticleDOI

A new microscope optics for laser dark-field illumination applied to high precision two dimensional measurement of specimen displacement.

TL;DR: A new optics for laser dark-field illumination was developed and applied to measuring two dimensional microbead displacements with subnanometer precision to improve precision in the measurement of the displacement of a specimen.
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