The texture roughness measures for engineering problems

In our research, we are interested in the automatized detection of corrosion on images of steel structures. The paper presents the influence of the roughness of image and the value of widely used measures, namely properties of grey-level co-occurrence matrix (GLCM) and grey level run length matrix (GLRLM). The results show the capability of these measures for the description of roughness in the image, which is typically considered significant evidence of corrosion. We suggest that image classification based on reviewed measures can be further utilized for standard classification methods.