Multi-scale Markov Random Field Based Fabric Image Segmentation Associate with Edge Information
- Resource Type
- Conference
- Authors
- Ruilin, Zhang; Yan, Hu; Weijie, Guo; Chenyan, Zhang
- Source
- 2009 Second International Symposium on Computational Intelligence and Design Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on. 1:566-569 Dec, 2009
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Markov random fields
Fabrics
Image segmentation
Image edge detection
Random variables
Wavelet transforms
Virtual colonoscopy
Computational intelligence
Software engineering
Mobile communication
image segmentation
- Language
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.