中国韩国日本在线观看免费,A级尤物一区,日韩精品一二三区无码,欧美日韩少妇色

當(dāng)前位置:主頁(yè) > 科技論文 > 電子信息論文 >

Automated Complex Fabric Faults Detection Using a Hybrid Met

發(fā)布時(shí)間:2024-07-02 20:16
  

【文章頁(yè)數(shù)】:85 頁(yè)

【學(xué)位級(jí)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(hào):3999950

資料下載
論文發(fā)表

本文鏈接:http://www.lk138.cn/kejilunwen/dianzigongchenglunwen/3999950.html

上一篇:Enhanced emission at 2.85 μm of Ho 3+ /Pr 3+ co-doped α-Na Y  
下一篇:沒(méi)有了

Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶(hù)920ab***提供,本站僅收錄摘要或目錄,作者需要?jiǎng)h除請(qǐng)E-mail郵箱bigeng88@qq.com