0000000000082233

AUTHOR

Frederic Nicolier

showing 2 related works from this author

<title>Human cell texture analysis with quincunx spline wavelet transform</title>

1999

Wavelet transforms are efficient tools for texture analysis and classification. Separable techniques are classically used but present several drawbacks. First, diagonal coefficients contain poor information. Second, the other coefficients contain useful information only if the texture is oriented in the vertical and horizontal directions. So an approach of texture analysis by non-separable transform is proposed. An improved interscale resolution is allowed by the quincunx scheme and this analysis leads to only one detail image where no particular orientation is favored. New orthogonal isotropic filters for the decomposition are constructed by applying McClellan transform on one dimension B-…

business.industrySecond-generation wavelet transformStationary wavelet transformSpline waveletComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformSpline (mathematics)WaveletQuincunxComputer visionArtificial intelligencebusinessInfinite impulse responseAlgorithmMathematicsHuman Vision and Electronic Imaging IV
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Range image binarization: applications to wooden stamps analysis

2003

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 stamp…

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