Structural Fault Detection in Random Macro Textures

In this paper, we present a scheme based on iterative morphology for highlighting defects in random textures. The idea is to identify abnormally sized structures in the texture by determining their persistence when iterative morphological erosion is applied. We present some results from a large testbed database of images of granite and ceramic tiles. 1 INTRODUCTION Texture is generally divided into two main types: micro and macro textures. Many methodologies have been developed to describe and model them and detailed surveys can be found in [3, 2]. Many existing texture descriptors are based on the view that texture is a regular pattern composed of repeated primitive elements. Automatic inspection of such regularly-textured surfaces is simplified by the inherent regularity in the placement of the texture primitives. Thus, deviations from the texture primitives should be easily identifiable and, more importantly, measurable. Unfortunately, most natural images do not generally show suc..