matching at the boundary 中文意思是什麼
matching at the boundary
解釋
晶界匹配度-
Second, the starting and stopping behaviors under disturbed condition are analyzed and calculated by using the dynamic concentrative parameter model, which gives some advice to better prescribe refrigeration system and set theoretic foundation for carrying out automatic control of refrigeration system. third, the normal running process is analyzed and calculated by means of rational matching theory, which gives some advice on how to better understand the parameter change under steady state and the affection of inlet - parameter on evaporator. fourth, the simulation software with dynamic characteristic is designed, which can be applied to calculate thernio - parameter of cryogen, air humidity and frost thickness under different initial and boundary conditions, and to carry out dynamic simulation under conditions of dryness, wetness and frostiness, at the same time, to achieve detection and simulation at any stage from starting to stopping
本文的主要內容如下： 1 ）對翅片管蒸發器結構特點進行分析，選取適當的微元控制體，就干、濕和霜工況下對每個微元分別進行傳熱傳質分析，基於經驗關系式確定霜的有關參數，對于霜工況下的霜生長建立模型，經適當假設，運用質量守恆、能量守恆和動量守恆方程建立適合動態模擬的蒸發器數學模型，為系統模擬奠定基礎； 2 ）對蒸發在大擾動下的開、停機過程，運用動態集中參數模型進行分析和計算，為更好地描述製冷系統運行的全過程奠定基礎，同時也為製冷系統實現自動控制提供一定的理論基礎； 3 ）對蒸發器正常運行過程，運用動態分佈參數和參數間定量耦合的觀點來分析和計算，為更好地了解穩態工況下各點參數的變化情況及各入口參數對蒸發器動態特性的影響即蒸發器性能對各參數變化的敏感性； 4 ）編寫翅片管蒸發器動態特性模擬計算程序，可以計算不同邊界條件和初始條件下的製冷劑熱力參數、空氣溫濕度和霜厚度分佈場，實現對翅片管蒸發器在干、濕和霜工況下的動態模擬。 -
Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result
以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。 -
In this paper, a boundary chain code tracing method is used to extract the contour information, the process of thinning, de noising, and encoding for contour are realized at one time, so a 1d string represented the 2d contour shape information is obtained, then a contour matching method based on chain code is presented
摘要首先利用邊界鏈碼的跟蹤技術，提取出二維碎片的輪廓信息，同時對輪廓線進行細化、去噪和編碼處理，得到二維輪廓線的一維鏈碼信息描述，並在此基礎上提出一種基於鏈碼的二維碎片輪廓匹配方法。 -
Slice - imagings interpolation can creat new slices. this dissertation presents a gray - level matching interpolation method based on object gray - level distribution probability knowlege, through which we can get more clear scene at the boundary between different matters than that in traditional interpolation methods. with respect to non - similar shapes or no superposition of corresponded contours on adjacent slices and concave contours, this dissertation introduces a method based on variant shape - based interpolation
提出了一種基於對象灰度概率知識引導的對應點匹配的灰度插值演算法，解決了傳統灰度插值的不同種對象物質交界處的模糊問題；對于只關心物體邊界和重構目標形態信息的情況，介紹了當相鄰斷層上的對應輪廓線的形狀不相似，位置差異大時，利用改進的輪廓加權平均演算法進行輪廓形變插值的方法。
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