6533b7d6fe1ef96bd1266418

RESEARCH PRODUCT

Range image binarization: applications to wooden stamps analysis

Olivier MorelRalph SeulinGilles MillonFrederic Nicolier

subject

Engineeringbusiness.industryImage qualityBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingDigital imageImage textureComputer graphics (images)Digital image processingComputer visionArtificial intelligenceImage warpingbusinessFeature detection (computer vision)

description

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.

https://doi.org/10.1117/12.515045