顏色轉變點 的英文怎麼說

中文拼音 [yánshǎizhuǎnbiàndiǎn]
顏色轉變點 英文
color transition point
  • : 名詞1. (臉, 臉上的表情) face; countenance 2. (體面; 面子) prestige; face 3. (顏色) colour 4. (姓氏) a surname
  • : 色名詞[口語] (顏色) colour
  • : 轉構詞成分。
  • : Ⅰ名詞1 (液體的小滴) drop (of liquid) 2 (細小的痕跡) spot; dot; speck 3 (漢字的筆畫「、」)...
  • 顏色 : [口語] pigment; dyestuff
  • 轉變 : change; convert; transform; turn
  1. The effect on display characteristic made by thermal deformations of the shadow mask is comprehensively investigated. by using the electron beam distribution automatic measurement system with a micro - deflective coil, a concave spot in luminance distribution can be get. it changes its position when the shadow mask changes its form

    本文系統全面地分析了傳統蔭罩的各類熱形對顯示屏特性的影響,利用本文研製的電子束亮度分佈自動測試系統,附加一個微偏磁場,使相鄰兩電子束打在同一的熒光粉條,並形成一個亮度凹,當蔭罩形時,凹位置作相應的位移,以此原理跟蹤測量凹位移量,即可得到純漂移動態化曲線。
  2. 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模型的換方法,為消除圖像畸對識別精度的惡劣影響而採用的通過控制進行雙線性插值進行畸校正的方法;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,重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。
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