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Detection of arcs in workpiece images

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Recent Issues in Pattern Analysis and Recognition

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 399))

Abstract

In this paper we suggest a methodology for detecting arcs and circles in a digitized image, by using as inputs the original image and the gradient image.

The algorithm is based on the geometric property that the centre of a circle or of an arc is the accumulation point of all the straight lines perpendicular to the circumference or arc.

The interest for this algorithm stems from the capability to recognize arcs and circles of unknown radii by a technique simple from the computational viewpoint, and whose results are not strongly affected by noise.

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References

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Authors

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Virginio Cantoni Reiner Creutzburg Stefano Levialdi G. Wolf

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© 1989 Springer-Verlag Berlin Heidelberg

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Milano, A., Perotti, F., Serpico, S.B., Vernazza, G. (1989). Detection of arcs in workpiece images. In: Cantoni, V., Creutzburg, R., Levialdi, S., Wolf, G. (eds) Recent Issues in Pattern Analysis and Recognition. Lecture Notes in Computer Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51815-0_65

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  • DOI: https://doi.org/10.1007/3-540-51815-0_65

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51815-0

  • Online ISBN: 978-3-540-46815-8

  • eBook Packages: Springer Book Archive

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