Range image binarization: applications to wooden stamp analysis

Ralph Seulin; O. Morel; Gilles Millon; Frederic Nicolier

doi:10.1117/12.515045

1 May 2003 Range image binarization: applications to wooden stamps analysis

Ralph Seulin, O. Morel, Gilles Millon, Frederic Nicolier

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.515045
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

Abstract

This paper deals with the analysis of ancient wooden stamps. The aim is to extract a binary image from the stamp. This image must be the closer to the image produced by inking and using a printing press with the stamps. A range image based method is proposed to extract a stamped image from the stamps. The range image acquisition from a 3D laser scanner is presented. Pre-filtering for range image enhancement is detailed. The range image binarization method is based on an adaptive thresholding. Few simple processes applied on the range image enable a final binarized image computing. The proposed method provides here a very efficient way to perform "virtual" stampings with ancient wooden stamps.

Citation Download Citation

Ralph Seulin, O. Morel, Gilles Millon, and Frederic Nicolier "Range image binarization: applications to wooden stamps analysis", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.515045

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