Abstract
The results of grain size assessment obtained using computer image analysis and manually are presented for comparison. Twelve images of austenitic steel structures of different grain size were examined. The most important grain size parameters, i.e., mean cross section and mean grain diameter were determined. To verify the proposed algorithms the results obtained for the same structures by using classical quantitative metallography are also presented. The algorithms based on significantly different methods for grain edge detection were used to demonstrate the relationships more clearly and to provide a more general view of computer-aided image processing. The measurements were also made manually by six independent observers. The comparison between different methods indicates an advantage of automatic techniques.
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