Conformity of valuable spikes by ombroscopic imaging

Fabrice Mairesse; Tadeusz M. Sliwa; Yvon Voisin

doi:10.1117/12.838855

28 January 2010 Conformity of valuable spikes by ombroscopic imaging

Fabrice Mairesse, Tadeusz M. Sliwa, Yvon Voisin

Proceedings Volume 7538, Image Processing: Machine Vision Applications III; 75380C (2010) https://doi.org/10.1117/12.838855
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

This paper describes a methodology for thin spikes characterization. Nowadays, its evaluation is performed by visual control. We propose a method to measure these spikes at a micrometric scale by using ombroscopic image processing. A spike needs to be mainly conic and its tip must be ogival. The first aspect is evaluated by comparing the spike with an ideal cone based on spike's contour. To find lines supported by contours, we use the Radon transform. However, due to irregular contour, we develop an improvement of this transform based on morphological operators. This way, real segments are found and a correct estimation of an ideal cone can be done. The second aspect is controlled by measuring the radius of the tip which gives both sharpness and regularity of the tip. As the following of the curvature is problematic, we use a morphological skeleton on the contour to obtain a structure similar to a Y. The intersection of these three branches leads to a correct estimation of the circular gauge. An additional filling criterion validates the result. This study is successful as the production is correctly classified and precise measures were obtained both in terms of global characteristics and sharpness.

Citation Download Citation

Fabrice Mairesse, Tadeusz M. Sliwa, and Yvon Voisin "Conformity of valuable spikes by ombroscopic imaging", Proc. SPIE 7538, Image Processing: Machine Vision Applications III, 75380C (28 January 2010); https://doi.org/10.1117/12.838855

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KEYWORDS

Image processing

Image segmentation

Radon transform

Shape analysis

Tolerancing

Visualization

Distortion

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