終點幀 的英文怎麼說
中文拼音 [zhōngdiǎnzhèng]
終點幀
英文
ending frame-
The initial vsd process uses two main characters, the average instantaneous energy and the average instantaneous zero crossing rate ( zcr ). to make the first recognition for the start and the end, the emphasis of which is to select the appropriate value of the threshold and the length of frame. in the final vsd process, the author compares several characters and confirms the new recognition character
初步分段過程使用了能量和過零率這兩個主要特徵進行端點檢測，重點是合理選擇兩個重要參數? ?門限和統計幀長度的取值；在最終分段過程中，筆者首先通過比較幾種特徵的識別效果，選擇卡爾曼濾波參數作為再次分段的識別特徵，還提出了一種新的識別特徵? ?周期性緩變特徵，使用這兩個特徵分別在子語音段內進行端點檢測。Then it studies the implementation, architecture and characteristic of embedded guis based on framebuffer, designs testing programs to test several embedded gui system ' s performances ( stability, efficiency ), and finally chooses qt / embedded as the development platform of the bsas. chapter 3 firstly briefly describes the embedded system hardware architecture, and then enumerates functions of system software
在分析了若干種基於幀緩沖（ framebuffer ）的嵌入式gui的實現、體系結構和特點的基礎上，設計了測試程序對比它們在穩定性、繪圖速率等方面的性能，最終選擇qt embedded作為嵌入式系統軟體開發平臺。The design combines the advantages of hardware " s high - speed and software ' s low resources : 1 ) mc145572 is chosen to access the net providing 128kbit / s, 2b + d full dual channels ; 2 ) because of b channel " s large amount of user data and its high demands of real - time performance, the gsc hardware channel of intel 80c152 used as cup of the system is used to wrap / unwrap b channel " s sdlc, ensuring the system real - time working
第一，選用motorola的mc145572晶元來實現終端在u節點的n ? isdn的物理接入。提供2b + d通道的全雙工的數字通信，速率達128kbps 。第二， b通道承載數據量大，實時性要求高，採用intel80c152作為cpu ，利用其gsc硬體通道實現b通道數據的sdlc （同步數據鏈路）裝幀與解幀，以確保通信的實時性。Following are detailed steps of this system : in the segmentation section, we use three successive frames to detect the motion infomation of the pictures, by using blockmatching algorithm in two successive frames twice, we can get two pictures composed of motion blocks of the moving object, then we find out the common motion blocks of the two pictures, experiments prove these blocks approximately compose the moving object. after getting the motion blocks, we calculate the center of these blocks as the center of the moving object, thus we can use the center point as the origin, construct n straight linesjoining the boundry of the image and the center. on each line, we can find out a proper point near the object contour according to some criteria, then we use these n points as the initial points of the snake and let the snake converge on the object contour, thus finish the segmentation of the moving object
本方案的實現過程為：分割部分：對運動目標的前後三幀進行兩次塊匹配運動檢測，通過找出兩個匹配結果中運動圖像塊的公共部分，獲得組成運動目標的圖像塊；求出運動目標圖像塊的形心作為運動目標的中心，以此中心為端點，向四周發散出角度間隔為的n條射線，射線的另一端終止於圖像的邊緣；在每條射線上按照一定的準則（點的梯度和與目標中心的距離在一定閾值范圍內）找出n個初始輪廓點；以這些初始輪廓點作為主動輪廓模型（ snake ）的初始點，用改進的貪婪演算法使snake收斂到待分割的運動目標輪廓上。分享友人