Detecting grain boundaries in deformed rocks using a cellular automata approach

► Grain boundary detection in deformed rocks used GIS-based cellular automata. ► Automated extraction used Moore's neighborhood-based rules for edge detection. ► Different iteration outputs were tested by changing transition rules. ► Model was tested with deformed quartz arenite and quartz wacke. ► Quantitative evaluation compared modeled and manually-digitized polygons.