Modeling of Texture Images by the Structuring Element of Morphological Filters

Abstract

This paper proposes a new modeling method of texture images based on morphological operations. For the texture analysis One of important texture modeling method is the linear prediction. In the linear prediction method, the frequency feature of texture images is put into autore-grssive (AR) model (i.e., all-pole linear filter) On the other hand,we would like to show new models which represent the structural feature of texture images. It is well known, the patter spectrum calculated by morphological operations are utilized the texture analysis, since morphological operations have the ability to extract structural feature. Thus, we attempt to put into structural feature of texture images put into the structural element of morphological operations. We show the effectiveness of the proposed models through the recognition test.