1. 毕业设计（论文）的内容和要求

纺织工业是国民经济的传统支枉严业，其产能规模不断扩大，但布匹的瑕批严重影响着布匹的质量。

目前国外己有先进布匹检测系统，但国内较多中小公司仍采用人工检测的方法，检测效率低且误检率和漏检率高，函需开发实用的满足工业现场实际需求的布匹检测系统。

本课题利用布匹图像纹理性的特点，深入研究布匹瑕疵检测技术。

2. 参考文献

[1]Wonjun K, Changick K. Background Subtraction for Dynamic Texture Scenes Using Fuzzy Color Histograms [J]. IEEE Transactions on Signal Processing Letters 2012 19(3): 127-130. [2]Hanmandlu M，Choudhury D，Dash S. Detection of defects in fabrics using topothesy fractal dimension features [J]. Signal, Image and Video Processing，2014 (4): 1-10. [3]Millan M S，Escofet J. Fabric inspection by near-infrared machine vision [J]. Optics Letters ,2004,29(13): 1440-1442. [4]Djukic L P Pearce G M，Herszberg I,et al. Contrast Enhancement of MicroCT Scans to Aid 3D Modelling of Carbon Fibre Fabric Composites [J]. Applied Composite Materials，2013，20(6): 1215-1230. [5]Baykal I C，Muscedere R, Jullien G A. On the use of hash functions for defect detection in textures for in-camera web inspection systems [C]. In: Green Circuits and Systems Phoenix-Scottsdale: ISCAS，2002. [6]Rahman A, Murshed M. Detection of Multiple Dynamic Textures Using Feature Space Mapping [J].IEEE Transactions on Circuits and Systems for Video Technology 2009，19(5): 766-771. [7]Schneider D, Holtermann T , Merhof D. A traverse inspection system for high precision visual on-loom fabric defect detection [J]. Machine Vision and Applications.2014: 1-15. [8]Schneider D, Holtermann T ,Neumann F, et al. A vision based system for high precision online fabric defect detection [C]. In: Industrial Electronics and Applications. Singapore: ICIEA } 2012. [8]Kamel M，Campilho A, Castilho H P, et al. Intelligent Real-Time Fabric Defect Detection [J]. Image Analysis and Recognition, Springer Berlin Heidelberg，2007:1297-1307.

3. 毕业设计（论文）进程安排

12.20-1.20 明确和细化任务，选择和确定方案；着手进行文献检索和开题报告；确定翻译内容，完成翻译 1.21-2.10 开题报告；完成系统功能和软件方案设计 2.11-4.28 仿真软件编程、测试、完善 4.29#8212;5.25 毕业论文写作 5.26-6.17 准备毕业设计答辩、毕业设计答辩