Automated Complex Fabric Faults Detection Using a Hybrid Met
發(fā)布時(shí)間:2024-07-02 20:16
【文章頁數(shù)】:85 頁
【學(xué)位級別】:碩士
【文章目錄】:
Abstract
Chapter1 Introduction
1.1 Introduction
1.2 Objectives
1.3 Methodology
1.4 Definition of key terms
1.5 Thesis overview
Chapter2 Literature Review
2.1 Introduction
2.2 Hardware Part
2.2.1 Smart Camera
2.2.2 Lens
2.2.3 Light
2.2.4 Frame grabber
2.2.5 HMI Controller
2.2.6 AC Contactor
2.2.7 Warp knitting Machine Motor
2.2.8 System Architecture
2.3 Fabric fault detection or identification approach
2.3.1 Structural approach
2.3.2 Statistical approach
2.3.3 Spectral approach
2.3.4 Learning approach
2.3.5 Hybrid approach
2.4 Conclusions
Chapter3 Hybrid Method Development
3.1 Algorithm Design
3.1.1 Hybrid Algorithm
3.1.2 Gabor Filter
3.1.3 Pulse Coupled Neural Network
3.1.4 Morphology Filter
3.1.5 Hybrid Method
3.2 Experimental process
3.2.1 PCNN parameter setting
3.2.2 Binarizing
3.2.3 Programming
3.3 Conclusion
Chapter4 Result Analysis
4.1 Result Calculation
4.2 Result comparison:
4.3 Experimental Results
4.4 Conclusion
Chapter5 Conclusion and Future Scope
5.1 Conclusion
5.2 Future Scope
References
攻讀碩士學(xué)位期間取得的研究成果
Acknowledgements
附件
本文編號:3999950
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