On moment-based local operators for detecting image patterns

Local operators, template matching and moments are widely used in image processing. In this paper, they are combined into an efficient method of designing detectors for various image patterns. The method is using a circular window of the size corresponding to the problem requirements. For each location of the window, moment features are used to determine the optimum template that is subsequently matched to the actual content of the window to produce a 'pattern intensity' map. Theory and general recommendations are illustrated by results obtained for exemplary patterns. The method is also briefly compared to other techniques.