基于大颗粒分析法的混色纱质量评价研究

发布时间：2021-06-23 04:48

　　近十年来,纺织材料图像处理取得了长足的进展。对混色纱工业图像处理的过去、现状和未来进行了调研,分析了传统人工视觉和计算机视觉用于纱线检测的方法及其优缺点。接着,探讨了大颗粒分析方法。在基于MATLAB的模型基础上,对棉结混杂纱织物的实时均匀性进行了研究。通过对现有系统的比较分析发现,大部分混杂纱行业主要依靠人眼视觉的评估和经验。在MATLAB模型基础上,提出了一种新的棉结均匀性检测算法,为混纺纱行业棉结均匀性的检测提供了解决方案。通过棉结混杂纱的实时棉结检测实验,验证了基于核密度函数和宏像素分析的棉结检测算法,该算法计算出了91%左右的棉结不均匀度,这个结果无法通过肉眼视觉检测达到。这种新的模型、算法和方法将有助于混杂纱行业的棉结均匀性检测,也可用于其他类型时尚纱线的检测。最后,对本项研究进行了总结,并展望了今后可能的研究方向。 

【文章来源】：东华大学上海市 211工程院校 教育部直属院校

【文章页数】：64 页

【学位级别】：硕士

【文章目录】：
摘要
Abstract
Chapter 1 Introduction
    1.1 Background
    1.2 Development in quality assessment of melange yarn
    1.3 Macropixel Analysis to determine homogeneity
    1.4 Significance of this research
    1.5 Creative fruits and thesis outline
Chapter 2 Model of Melange Yarn Inspection with quality controlling
    2.1 Introduction
    2.2 Analysis of visual inspection and its quality controlling
    2.3 Computerized inspection model and system with quality controlling
    2.4 Differences and advantages of the proposed computerized inspectionapproach
    2.5 Summary
Chapter 3 Algorithm & experimental simulations
    3.1 Introduction
    3.2 Algorithm design and workflow analysis of real-time nep detection model
    3.3 Experimental materials and methods
    3.4 Summary
Chapter 4 Result analysis and comparison
    4.1 Introduction
    4.2 Significance of real-time nep detection model
    4.3 Validation of real-time nep detection model
    4.4 Nep detection
    4.5 Homogeneity analysis and comparison
    4.6 Summary
Chapter 5 Conclusion and Future recommendation
    5.1 Conclusion
    5.2 Future recommendation
参考文献 References
附录 Appendix
    Appendix 1: MATLAB code
攻读学位期间发表的学术论文 Published Papers During Postgraduate Years
致谢 Acknowledgement
索引 Index



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