閾值轉換法 的英文怎麼說
中文拼音 [yùzhízhuǎnhuànfǎ]
閾值轉換法
英文
thresholding-
The influence of the cloud droplet spectrum character and the spectrum growth and change is considered, which does not use a cut - off value for conversion from cloud water into rain water process. in the continuous coalescence equation, the particles fall velocity difference is not moved out from the integral, but is integrated in the equation as the function of diameter d to avoid the error of using particles average fall velocity. in the new scheme, generation rate of graupel due to the collection of snow by graupel and the collection of cloud ice by graupel are included
雲中凝結核ccn的數濃度採用超幾何函數表示；雲水向雨水的自動轉換過程採用grabowski （ 1999 ）的公式，考慮了雲滴譜的特徵和發展變化對該過程的影響，而不是採用原方案給定閾值的方法描述該過程；對連續碰並方程不再將粒子落速差作為常量提出積分號外，而是直接作為粒子直徑函數在積分號內求解，這樣處理可以迴避使用粒子群的平均落速帶來的誤差；增加了霰和雪、霰和冰晶的碰並微物理過程。Based on these foundations, we give a perfect scheme of the bbo opos : single pass amplification coefficient of the opg under different pump intensity is calculated ; collinear type - i and type - ii phase matching tuning curve pumped by the q switch nd : yag various harmonics as well as noncollinear type - i tuning curve are calculated in details ; the effect of the walkoff for the nonlinear effect coefficient and the group velocity matching are analyzed ; the acceptance angle in parametric process is calculated ; the numerical threshold of the bbo opo is calculated ; the process of the saturation and depletion of the pump beam are analyzed ; the relationship of the conversion efficiency and reflectance of output mirror are discussed ; various linewidth controlling methods are discussed ; the improvement of the beam quality applying the unstable cavity is discussed ; and the crystal bbo design is considered
在此基礎上，給出了一整套bbo - opo激光參數設計方案：計算了不同泵浦強度下的參量放大倍數；詳細計算了在nd : yag調q激光器各次諧波泵浦條件下的共線類和類相位匹配的調諧曲線，以及非共線類相位匹配調諧曲線；分析了走離角對非線性系數和群速匹配的影響；計算了參量過程的允許角；計算了bbo - opo的理論閾值條件；分析了飽和與泵浦光束的消耗過程；給出了轉換效率與超過泵浦閾值的倍數的關系；討論了轉換效率與輸出鏡反射率的關系；討論了線寬控制的各種方法；研究了利用非穩腔改善光束質量的方法；考慮了bbo晶體的設計。However, most of the current wireless networks still work in low bandwidths, and mobile devices still suffer from weak computational power, short battery lifetime and limited display capability. therefore, this thesis deals with developing a very low bit - rate bi - level video coding technique, which can be used in video communications almost anywhere, anytime on any device as follows : ( 1 ) convert true color video sequences from ccd and video card to grayscale ones, ( 2 ) detect static region of successive frames by the sum of absolute differences ( sad ) and update current frame using static region of previous frame, to decrease flicker. ( 3 ) threshold the images to bi - level video sequences using ridler ' s iterative selection
為此，本論文在傳統h . 26x和mpeg - x等視頻編解碼技術的基礎上提出了一種新的基於輪廓的視頻編解碼方案，步驟如下： （ 1 ）先把從ccd攝像頭捕捉到的視頻幀序列轉換成灰度幀序列， （ 2 ）在灰度幀序列的基礎上通過sad演算法找出相鄰幀的靜態區域，用前一幀的靜態區域更新當前幀的相應區域，這樣可以降低畫面閃爍， （ 3 ）然後用灰度直方圖迭代所產生的閾值二值化圖像，生成基於輪廓的視頻幀序列， （ 4 ）最後運用基於上下文的算術編碼技術對由第三步生成的二值化視頻幀序列進行算術編碼。A voltage - mode synapse circuits with simple structure, high speed and high precision was designed firstly. then, a bicmos technics based circuit called verdict - converting switch ( vcs ) was put forward as substantial components of mtncs. based on this, an approach was proposed for designing the circuits of multi - thresholded verdicting function ( mtvf ) at switch level
先提出了一種結構簡單，線性度好，併兼顧精度的突觸電路，然後提出一種基於bicmos工藝的判別轉換開關電路，在此基礎上，結合限幅電壓開關理論，提出從開關級設計多閾值神經元閾值判別函數電路的一般方法。The robot vision is an image processing and analysis process. this paper using the common method of image fore processing currently, transforms the colorized image to gray and makes it only tow values by a critical point threshold
機器人視覺是一個圖像處理分析過程，本文利用當前常用圖像預處理方法，對彩色圖像進行了灰度轉換、閾值分割，實現其二值化。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。The first part of this paper discusses the preprocession of vehicle images. this part presents transfer of the format of images, the enhancement of images the edge detection of images and the bodywork dispose of vehicle. bring forward the images minus shadow technology base on threshold to apply to wipe off background of the vehicle
本文第一部分討論了汽車圖像的預處理，主要包括圖像格式的轉換，圖像的增強，圖像的邊緣檢測，汽車車體的處理，提出了採用基於閾值的圖像減影技術在去除汽車背景的應用，實驗結果表明此演算法是十分有效的。Contraposed those characteristics of leather, after studying all kinds of algorithms of image segmentation, this dissertation chooses the techniques of thresholding methods of parallel region segmentation and edge tracing methods of serial edge segmentation to detect the contour of the leather image. then by using polygonal approximation method, we can convert the contour ' s form from image into graphics. it will make following arrangement works more convenient
本論文針對皮革圖象的上述特點，在對各種圖象分割演算法進行研究后，選用了并行區域分割中的閾值化技術及串列邊界分割中的輪廓跟蹤技術，將皮革圖象的邊緣輪廓檢測出來，並對該輪廓進行多邊形擬合，使其由圖象轉換為圖形，以便為后續排樣工作提供方便。分享友人