Abstract
Several methods have been developed recently for semiautomatic or automatic microstructure characterisation. In general, they are limited in their ability to distinguish accurately the regions or objects of interest. This can be critical in ceramography where features are not easily separated with respect to the matrix. A versatile and highly efficient technique using the Khoros system, a powerful image processing environment, is presented for microstructure morphological characterisation. The technique implemented is essentially based in the boundary reconstruction of the features that are not well delineated. The method allows image contrast to be improved, image defects to be corrected, morphological features to be extracted, and parameters for microstructure characterisation to be determined. To illustrate the performance of this technique, several morphological parameters of grains and precipitates in compact hydroxyapatite are determined.
MST/3443
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