Statistical Reach Feature Method And Its Application To Template Matching

A novel method for image template matching which gives robust results for various disturbances in the real world, including local and/or global variations of illumination, occlusions, and noises, is proposed. The authors defined the similarity index from the set of pixel pairs with distinct intensity-difference in the given template image. The ’distinctness’ is defined from the statistical view point. The authors develop the mathematical model of the inverting-ratio, which is the quantity strongly related to the similarity index, for the Gaussian-disturbances. The authors also verified the model by numerical experiments. The mathematical model, enforced by the numerical results, gives the theoretical backbone for the robustness of the proposed method