Quality measurement of template models and automatic template model selection

Template matching is a common method of finding the corresponding points between images for image alignment. Normally the template selection are done manually. This paper introduces a novel method of measuring the quality of a template and the method of selecting template models automatically using the measure. We define the qualities of a good template and derive the score function that measures the qualities using the edge information. This is a generic algorithm to suit to any industrial vision application.