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Segmenting multi-component microanalytical images consists in trying to find zones of the specimen with approximate homogeneous composition, representing different chemical phases. This can be done through pixel clustering. We first highlight some limitations of classical clustering algorithms (C-means and fuzzy C-means). Then, we describe a new algorithm we have contributed to develop: the Parzen-watersheds...
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