TEMPLATE MATCHING BASED ON A GRAYSCALE HIT-OR-MISS TRANSFORM

This paper introduces a class of rank-order-based template matching cr iteria that are multiplier-free and independent of the de variations o f the image. The core component of these criteria is a grayscale morph ological hit-or-miss transform (GHMT). Experimental results show that the GHMT features sharp and robust indications in the presence of Gaus sian noise. The idea of the GHMT is used to develop more general forms of matching criteria that are robust to both Gaussian and impulsive n oises.