Efficient algorithm for computing the antigranulometry

Juliette Mattioli; Michel Schmitt

doi:10.1117/12.146657

23 June 1993 Efficient algorithm for computing the antigranulometry

Juliette Mattioli, Michel Schmitt

Proceedings Volume 2030, Image Algebra and Morphological Image Processing IV; (1993) https://doi.org/10.1117/12.146657
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Juliette Mattioli and Michel Schmitt "Efficient algorithm for computing the antigranulometry", Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); https://doi.org/10.1117/12.146657

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