An algorithm for extracting material shape and spatial information from non-uniform background, and for generating object skeletons for statistical two-dimensional experiments using random walk approach, is presented. This finds applications in textile analysis and microscopic analysis of various materials like hairs and allows for further precise determination of textile yarn dimensions as well as other geometrical characteristics like a fractal dimension.
BT - Proceedings of the Federated Conference on Computer Science and Information Systems DO - http://dx.doi.org/10.15439/2015F40 LA - eng N1 - DOI: 10.15439/2015F40 N2 -An algorithm for extracting material shape and spatial information from non-uniform background, and for generating object skeletons for statistical two-dimensional experiments using random walk approach, is presented. This finds applications in textile analysis and microscopic analysis of various materials like hairs and allows for further precise determination of textile yarn dimensions as well as other geometrical characteristics like a fractal dimension.
PY - 2015 EP - 717–720 T2 - Proceedings of the Federated Conference on Computer Science and Information Systems TI - Image Processing and Analysis of Textile Fibers by Virtual Random Walk VL - 5 ER -