足跟轉 的英文怎麼說
中文拼音 [zúgēnzhuǎn]
足跟轉
英文
heel turn-
After the dissections described, retract a flap consisting of skin, the fatty heel pad, and the plantar fascia
按前述方法切開后，將包括皮膚、足跟皮下脂肪墊及跖筋膜的皮瓣翻轉，即可顯露跟骨後方。Meanwhile, objective to the requirement of both real - time and accuracy for moving shaped target detect and tracking, a novel method is proposed based on combination of images difference and feature invariant. the paper improved the tradition difference method, constituted a feature invariant which characterized the object contour without influence of object ’ s size change, shifting, and rotation, and developed a dynamic - extremum - matching scheme
同時，針對識別跟蹤具有形狀信息的大飛行器目標所提出的快速準確要求，提出了一種基於改進的差分演算法與特徵不變量匹配的目標識別方法，彌補了傳統圖像差分方法的不足，構造了一個具有平移、大小和旋轉不變性的特徵不變量用於識別目標，並研究出一種動態極值匹配方案。This method is especially simple and easy to implement. furthermore, it fully capable of tracking digital control signals carried by 4 ~ 20ma analog signals ; during software development phase, we have completed signal collecting, lcd displaying, d / a converting of hart signal and ieee - 754 32 bit float point conversion. we used a simplified method in ieee - 754 32 bit compatible float point conversion based on the 24 bit integer and 16 bit decimal computation
在hart信號的解調外圍電路中採用遲滯比較電路實現波形的轉化，這種方法簡單、易實現，完全能夠跟蹤加載在4 20ma模擬信號上的數字控制信號；在軟體設計中，完成了hart信號的採集編程、 lcd顯示編程、 d a轉化控制編程和ieee - 75432位浮點數的轉化編程， ieee - 75432位浮點數轉化編程採用的是在最多滿足24位整數位和16位小數位的基礎上的一種簡化演算法。Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network
然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。分享友人