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| Content Provider | IET Digital Library |
|---|---|
| Author | Darwish, Saad Mohamed |
| Abstract | The inspection of textile defects is challenging because of the large number of defects categories that are characterised by their imprecision and uncertainty. In this study, novel interval type-2 fuzzy system is proposed for resolving defects recognition problem of textile industries. The proposed system mixes interval type-2 fuzzy reasoning and swarm optimisation algorithm together in order to enhance the defects classification capabilities. Interval type-2 fuzzy logic is powerful in handling high level of indecisions in the human decision making process, including uncertainties in measurements of textile features and data used to calibrate the examination's parameters. Swarm intelligence algorithm is used to optimise parameters of the membership functions to increase the accuracy of fuzzy controller. Besides, the problem of fuzzy linguistic rules learning has been tackled by utilising ant colony meta-heuristic method to reduce the complexity of the inspection system. Excellent recogniser results on real textile samples, using this system, are demonstrated. |
| Starting Page | 373 |
| Ending Page | 381 |
| Page Count | 9 |
| ISSN | 17519632 |
| Volume Number | 7 |
| e-ISSN | 17519640 |
| Issue Number | Issue 5, Oct (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cvi/7/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2012.0125 |
| Journal | IET Computer Vision |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Ant Colony Metaheuristic Method Ant Colony Optimisation Decision Making Defects Classification Capability Defects Recognition Problem Examination Parameter Calibration Fuzzy Controller Fuzzy Linguistic Rules Learning Fuzzy Logic Fuzzy Reasoning Heuristic Programming Human Decision Making Process Industrial Application of IT Inspection Inspection And Quality Control Interval Type-2 Fuzzy Logic Interval Type-2 Fuzzy Reasoning System Knowledge Engineering Technique Learning in AI Membership Function Optimisation Optimisation Technique Particle Swarm Optimisation Particle Swarm Optimisation Algorithm Production Engineering Computing Soft Computing Swarm Intelligence Algorithm Textile Defect Inspection System Textile Industries Textile Industry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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