運動距離閾 的英文怎麼說

中文拼音 [yùndòngjùlíyù]
運動距離閾 英文
displacement threshold
  • 運 : Ⅰ動詞1 （物體位置不斷變化） move; revolve 2 （搬運; 運輸） carry; transport 3 （運用） use; wield...
  • 距 : Ⅰ名詞1 （距離） distance 2 （雄雞、雉等的腿的後面突出像腳趾的部分） spur （of a cock etc ）Ⅱ動詞...
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 閾 : 名詞1. [書面語] （門坎兒） threshold; doorsill2. （界限; 范圍） threshold
  • 運動 : 運動[舊時用語] arrange things or get things done through pull
  • 距離 : 1 （相隔的長度） distance; range; gap; space; spacing; separation 2 （相距） be apart from; be aw...
  1. In this paper, a general dynamical fuzzy neural network model ? fuzzy hopfield networks with threshold is developed, which is based on the fuzzy operator composition of max ( ) and weakly continuous t - norms. it is shown that the model is global stable with the hamming distance, and its equilibrium point ( attractor ) is lyapunov stable. finally, a simulation example is employed to demonstrate our conclusions

    模與取大（ ）模糊運算元的復合，建立了具有一般意義的動態模糊神經網路? ?帶閾值的模糊hopfield神經網路，並系統分析了該動態系統的性能:在hamming距離意義下證明了該網路是穩定的，而且其平衡點（吸引子）具有全局lyapunov穩定性。
  2. 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。
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