QUANTIFICATION OF CRYSTAL MORPHOLOGY

Morphological measurement constitutes an important experimental subjec t in crystal growth and materials science, and is currently receiving renewed attention because of the rapid advances occurring in computer technology, coupled with the concomitant sharp reductions in the cost of digital image processing. Image processing applied to the quantific ation of microstructural images is currently being used in our laborat ory to increase the understanding of interfacial dynamics during cryst al growth and to analyze the kinetics of microstructural evolution. Qu antification of microstructural and crystal growth morphologies, such as the measurement of dendritic tip radii, crystallite size distributi ons, and crystallite shapes, provides the geometric foundation needed for interpreting interfacial dynamics during crystal growth and an obj ective description of morphogenesis accompanying solid-liquid and soli d-solid phase transformations. Automated methods employed, and, in par t, developed by the authors to measure these morphological and kinetic parameters, using advanced statistical and stereological methods, are reviewed in this paper. Some of the techniques disclosed here are cur rently being refined even further to achieve improved precision in the quantification of crystal growth morphology.