Multi-scale Markov Random Field Based Fabric Image Segmentation Associate with Edge Information

Abstract

To recognize the organizational structure of fabrics effectively, a fabric image segmentation method based on multi-scale Markov random field (MRF) was presented. Multi-scale MRF was applied to segment fabric images combined with edge information, which is extracted by the modulus maximum of wavelet transform. Experimental results show that the segmentation algorithm associated with edge information can reduce the computing time and most misclassifications. So, the approach is feasible and effective for fabric image segmentation.