Fabric Defect Detection and Classifier via Multi-Scale Dictionary Learning and an Adaptive Differential Evolution Optimized Regularization Extreme Learning Machine
Journal Title: Fibres and Textiles in Eastern Europe - Year 2019, Vol 27, Issue 1
Abstract
To develop an automatic detection and classifier model for fabric defects, a novel detection and classifier technique based on multi-scale dictionary learning and the adaptive differential evolution algorithm optimised regularisation extreme learning machine (ADE-RELM) is proposed. Firstly in order to speed up dictionary updating under the condition of guaranteeing dictionary sparseness, k-means singular value decomposition (KSVD) dictionary learning is used. Then multi-scale KSVD dictionary learning is presented to extract texture features of textile images more accurately. Finally a unique ADE-RELM is designed to build a defect classifier model. In the training ADE-RELM classifier stage, a self-adaptive mutation operator is used to solve the parameter setting problem of the original differential evolution algorithm, then the adaptive differential evolution algorithm is utilised to calculate the optimal input weights and hidden bias of RELM. The method proposed is committed to detecting common defects like broken warp, broken weft, oil, and the declining warp of grey-level and pure colour fabrics. Experimental results show that compared with the traditional Gabor filter method, morphological operation and local binary pattern, the method proposed in this paper can locate defects precisely and achieve high detection efficiency.<br/><br/>
Authors and Affiliations
Zhiyu Zhou, Chao Wang, Xu Gao, Zefei Zhu, Xudong Hu, Xiao Zheng, Likai Jiang
Keywords
Related Articles
- EP ID EP413796
- DOI 10.5604/01.3001.0012.7510
- Views 70
- Downloads 0
Impregnation of Microencapsulated Aroma Oil on Ramie Blended Terry Textile and its Bending Rigidity
An aroma agent containing eucalyptus essential oil was used for the development of a smart terry textile. The performance of terry woven fabric with microcapsules in relation to varied amounts of binder as well as the we...
Improve of Footwear Comfort Sensation with Material Packages and Knitted Fabrics
The main goal of this paper was to analyse the hygienic properties of textile packages used for the construction of shoe uppers. Distance fabrics with varied hygienic properties were the basis of these packages. The disc...
Moisture Management Properties of Seersucker Woven Fabrics of Different Structure
Moisture management is defined as the controlled movement of water vapour and liquid water (perspiration) from the surface of the skin to the atmosphere through the fabric. The ability of moisture transport is a very imp...
Application of Fenton Reaction and Nanofiltration for the Recovery of Process Water
sdd<br/><br/>
Language of Dressing as Communication System and its Functions – Roman Jakobson’s Linguistic Method
The aim of the study was to show the principles of nonverbal communication achieved with clothing by using Roman Jakobson’s linguistic method. As demonstrated and established here, clothes and their functions can be tran...