Automated Complex Fabric Faults Detection Using a Hybrid Met

发布时间：2024-07-02 20:16

　　

【文章页数】：85 页

【学位级别】：硕士

【文章目录】：
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
攻读硕士学位期间取得的研究成果
Acknowledgements
附件



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