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Quantization of polyphenolic compounds in histological sections of grape berries by automated color image analysis

Abstract

We present new results in applied color image analysis that put in evidence the significant influence of soil on localization and appearance of polyphenols in grapes. These results have been obtained with a new unsupervised classification algorithm founded on hierarchical analysis of color histograms. The process is automated thanks to a software platform we developed specifically for color image analysis and it\u27s applications

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