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Proceedings Paper

Efficient algorithm for computing the antigranulometry
Author(s): Juliette Mattioli; Michel Schmitt
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Paper Abstract

The principle of shape recognition by using granulometries, is to transform a binary planar shape into a curve which is translation, rotation and scale invariant by a family of morphological transformations depending on the size of the structuring element. This paper presents a fast algorithm for the computation of the anti-granulometry by closings which avoids boundary effects. This algorithm is based on a simple geometric transformation called the `Steiner Inverse Transform', on which original theoretical results are given.

Paper Details

Date Published: 23 June 1993
PDF: 12 pages
Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); doi: 10.1117/12.146657
Show Author Affiliations
Juliette Mattioli, Thomson-CSF and Univ. Paris Dauphine (France)
Michel Schmitt, Thomson-CSF and Univ. Paris Dauphine (France)

Published in SPIE Proceedings Vol. 2030:
Image Algebra and Morphological Image Processing IV
Edward R. Dougherty; Paul D. Gader; Jean C. Serra, Editor(s)

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