Digital images of real objects are often characterized by regions of nonuniform intensities. Understanding image texture, defined as a function of the spatial variation in pixel intensities (gray values), is important in numerous applications. Texture patterns can be caused either by physical surface properties such as roughness, or they can be the result of reflectance differences such as the color or brightness of an object. In this paper two examples from papermaking and graphic arts industry are presented where various texture parameters – energy, contrast, correlation, inverse difference moments, entropy – were extracted from the grey level coocurrence matrices (GLCM). These were computed from the corresponding images acquired with laser profilometer (surface profile data) and flat-bed scanner (mottling) using ImageJ's GLCM Texture plugin. The results are discussed and compared with those obtained by conventional methods for determining paper surface topography and print mottling evaluation.
paper roughness, print mottling, image processing, texture analysis, GLCM
Presenting author: Ales Hladnik
Organisation: University of Ljubljana, Faculty of Natural Sciences and Engineering, Chair of Information and Graphic Arts Technology, Ljubljana, Slovenia
co-authors: Gorazd Krumpak, Mirica Debeljak, Diana Gregor Svetec;
University of Ljubljana, Faculty of Natural Sciences and Engineering, Chair of Information and Graphic Arts Technology, Ljubljana, Slovenia