本論文旨在發展一套線上胚布瑕疵檢驗系統，以利用小波轉換（wavelet transformations）、灰階度共生矩陣（gray-level co-occurrence matrix）抽取織物瑕疵影像的特徵值，再利用灰色理論（grey theory）之灰色關聯度分析（grey relational grade analysis）來進行織物瑕疵的分類。主要針對常見的缺經、缺緯、破洞、油污及蛛網瑕疵，進行辨識分類研究。灰色關聯度分析（grey relational grade analysis）可在選定的特徵指標中，對所要分析研究的各因素，透過一些數據處理，在隨機的因素序列間，找出它們的關聯性，依關聯度最高者為其所判斷之瑕疵。同時以模糊控制理論設計模糊控制器使胚布表面張力維持一致性，提高胚布瑕疵的辨識率並增加驗布效率，使系統能擁有較高的執行效率。
在軟體設計上，以Visual C++及MFC（microsoft foundation class）類庫整合發展環境作為軟體開發工具，開發平台則使用Microsoft Windows作業系統；胚布張力控制模組，則由荷重感測器（load cell）搭配A/D、D/A訊號轉換卡和兩組變頻器負責直接對喂入與捲取羅拉作調控，進而控制胚布張力及傳送速度。實驗結果顯示，各以40張瑕疵樣本做線上檢驗，總辨識率為92.5％，成效非常良好。

The purpose of this thesis is to develop a set of on-line cloth-defect inspecting system, so as to seek the feature values of the cloth defect image through the use of wavelet transformations and gray-level co-concurrence matrix. As a follow-up, the cloth defects will be classified by applying the grey relational grade analysis of the grey theory. The main task is to identify the classification research for the spider weave, holes, oil stains, broken warps and broken wefts that are commonly seen. During the grey relational grade analysis, the relativity of factors to be analyzed and researched can be located from the random factor serial through data processing in the selected feature indicators. By this way, the one having the highest relativity will be the judged defect. In the meantime, the fuzzy theory will be used to design a fuzzy controller in maintaining consistent tension on the cloth surface so as to elevate the identification rate of cloth defects and enhance the cloth inspection efficiency. In this way, the system may be provided with higher performance efficiency.
In the software design, the Visual C++ and MFC (Microsoft Foundation Class) will be used as the software developing tool while the Microsoft Windows operating system will be used for the platform development. By using the load cell in conjunction with A/D, D/A signal conversion card and two units of frequency changers, the cloth tension control module will directly adjust the feeding and rolling rollers so as to control the cloth tension and its conveying speed. The test result indicated a very satisfactory 92.5% of total identification rate when using 40 sheets of defective samples for the on-line inspection.

中文摘要 ..............................I
Abstract ..............................II
誌謝 ..............................III
目錄 ..............................IV
圖表目錄 ..............................VI
第1章 緒論 .....................1
1.1 研究動機 .....................1
1.2 文獻回顧 .....................2
1.3 研究方法簡介 .................4
1.4 論文架構 .....................5
第2章 相關背景知識 .................7
2.1 臨界值法 .....................7
2.2 小波轉換法 ...................8
2.3 灰階度共生矩陣 ...............14
第3章 灰色關聯度分析 ...............20
3.1 灰色關聯概念 .................20
3.1.1 定義 .....................20
3.2 灰色關聯分析方法 .............22
3.2.1 灰關聯係數 ...................23
3.2.2 辨識係數 .....................24
3.2.3 灰色關聯度計算步驟 ............25
第4章 模糊控制器 ...................30
4.1 模糊控制理論 .................30
4.1.1 模糊理論 .....................31
4.1.2 模糊集合關係 .................32
4.1.3 模糊推論 .....................32
4.1.4 模糊控制器架構 ...............33
第5章 實驗結果與討論 ...............36
5.1 硬體架構 .....................36
5.1.1 驗布辨識系統檢測模組設備 .....37
5.1.2 驗布辨識系統張力控制模組設備 .38
5.2 胚部瑕疵檢測 .................40
5.3 張力控制 .....................57
第6章 結論與未來工作 ...............60
參考文獻 ..............................62
附錄 本研究之實驗模組 .................66
實驗模組前視圖 .....................66
實驗模組側視圖（一） ...................66
實驗模組側視圖（二） ...................67

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