Shape and image matching by use of morphology

Abstract

New measures for shape and image matching error are presented based on morphological method. It is shown that they grasp the structural and distributive information of the error so as to avoid the incorrect decision by classical ways. The properties of the new measures, such as the dominance of large features, are given. The experiments show these measures have a strong ability against noise and can be used effectively in shape recognition and image registration.<>