fabric dividing 中文意思是什麼
fabric dividing
解釋
裁布-
For multi - granularity application, both a lambda - group model used in traffic grooming and a new intelligent switching fabric based on the new model were presented. the optical switching fabric presented a distinctive approach of dividing granularities into specific tunnels for effective optical treatment. in addition, two key dynamic algorithm modules of configuration for granularity separation in the control layer were discussed. simulation results show that the method of particular channel partition can greatly improve the average channel quality and the blocking performance along every optical path for dynamic connection requests
針對多粒度應用，開發了一種用於流量疏導的波群模型，並引入一種基於此模型的新型智能交換結構.該光交換結構提供了獨特的區分粒度到相應隧道進行有效處理的方法.此外，還討論了控制層粒度分離時採用的兩個關鍵的動態演算法模塊.模擬結果顯示這種特殊的通道分離方法有效提高了處理動態連接請求時每個光路徑的平均信號通道質量和阻塞性能 -
The introduction part of this paper first presents the background and the purpose of investigation in simulation algorithm and also the basic framework of arithmetic, and then, it introduces the original principle of the arithmetic and makes a close analysis of the main models : ( l ) gives a concrete yarn simulation algorithm based on yarn ' s shade model ; ( 2 ) considers of fabric model and puts forward the simulation algorithm for simple fabrics ; ( 3 ) with consideration of the complicated textile, presents the algorithm of computing surface layer information based on dividing weave matrix into cells and combines the artificial intelligent technology to propose a framework to get the information of the textile surface. in the end, the paper presents the after - effects of the simulation and the way of arithmetic optimism as well
論文的緒論部分綜述了織物模擬演算法研究的歷史背景以及應用前景，提出了演算法的基本框架結構，然後闡述織物模擬演算法的基本原理，並對各主要模型進行了分析： （ 1 ）基於紗線的光照模型，給出了紗線模擬的具體方法； （ 2 ）綜合考慮影響織物外觀的重要因素，進一步給出了簡單花型織物的模擬演算法； （ 3 ）針對復雜織物，給出了基於織物組織單元化的表層信息提取演算法，並提出了結合人工智慧技術進行織物表層信息判斷的解決方案框架；最後，提出了模擬效果後期處理以及演算法優化的方法以提高織物模擬處理速度。 -
By dividing fabric image into many windows with the same size, choosing a window with minimum local entropy as a region of interest, thresholding the region and filtering out noise through opening function of mathematical morphology, calculating the defect shape factors as recognition parameters, a algorithm and method of detection of defects in fabric is studied : which has advantages of high identification, correctness, and fast inspection speed mainly because it can avoid complicated calculation of whole image and global searching when the feature parameters are extracted
摘要將織物圖像分成大小相同的局部窗口，選取局部熵最小的窗口為待研究的感興趣區域，在此區域內分割出疵點圖像並用數學形態學中的開運算濾除噪聲，計算疵點形狀因子等作為識別參數，研究表明此方法因能避免對整幅圖像進行復雜運算，在提取特徵參數時對圖像的全局搜索，具有識別正確率高、檢測速度快等優點。
分享友人