背景亮度 的英文怎麼說

中文拼音 [bēijǐngliàngdù]
背景亮度 英文
background brightness
  • 背 : 背動詞1. （用脊背馱） carry on the back 2. （擔負） bear; shoulder
  • 景 : Ⅰ名詞1 （風景; 景物） view; scenery; scene 2 （情形; 情況） situation; condition 3 （戲劇、電影的...
  • 亮 : Ⅰ形容詞1 （光線強; 明亮） bright; light 2 （聲音強; 響亮） loud and clear; resounding 3 （開朗; ...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 背景 : （布景; 襯托主體事物的景物; 對人物、事件起作用的歷史條件或現實環境） background; backdrop; setting
  1. Effects of vdt screen luninance and file background illumination on visual proof - reading performance

    屏面亮度和文件背景照度對視覺核讀作業的影響
  2. We provided a new method that tried to transform the whole image to featured space and facilitated identification and self - elimination of disturbance according to the hue and luminosity features of eyes of human being. we gave the definition and description of the transformed space. a wavelet - texture filter was designed to distill space - transform - based feature of the image itself was executed

    根據人眼對顏色、亮度等不同的敏感性以及圖像本身的性質，仿人眼變換域分析圖像形成光學濾色鏡效果，減少復雜背景顏色和相似形狀的多重干擾，並以此定義和表徵變換域特徵空間，給出變換域小波紋理車牌特徵，成功提取車牌字元區域； 2
  3. This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic

    本文詳細介紹了薄形組合件自適應識別系統；闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法，有效地解決了識別區域的定位問題。針對裝配零件（主要是墊片）薄、小導致圖像信息少、識別難度大，以及材質不一導致採集到的組合件圖像亮度波動等問題，提出了使用最佳閾值迭代法和使用種子填充的圖像串列分割技術，自適應地找出最佳閡值，使墊片和背景分離，從而提取墊片數目信息。
  4. Methods equi - luminance random dots moving test was used to determine the change of motion perception of blue, green and red cones in 51 eyes with poag

    方法應用等亮度隨機點的運動覺檢查方法，分別通過藍、綠、紅視標顯示在黃、紫及青色背景，以分離檢查51隻青光眼3種視錐細胞的視覺運動覺功能。
  5. Infrared and visible image sequences of vehicles and airplanes are used for tracking experiments under the situation of that the object is partially blocked by a momentary obstacle, or the illumination and contrast changes, or a big change of the scale and orientation of the object is happened

    使用紅外和可見光條件下飛機和車輛等圖像序列，在存在部分遮擋、目標和背景亮度變化、較大的目標尺度和角度變化等情況下進行了跟蹤實驗。
  6. The technology innovation in this paper follows : create a yiq complexion model to abstract face in complex background and get a method of no infection of brightness

    本文的技術創新點如下：設計了基於yiq色彩空間的膚色模型，得到了一個克服亮度變化的復雜背景面部數據提取的方法。
  7. The letters appear in bright and coloful letters against a colorful background

    英文字採用高亮度色彩豐富效果，展現于彩色背景上。
  8. Two wedge interferometers are designed that the thickness of one is higher than the other. so when the incident coherent light through the interferometers can acquire two fringe patterns which having space shift, but the incident incoherent light only result in consistent intensity signal. through a differentiating amplifier, two signals subtract which can eliminate noise of background and result in higher contrast ratio fringe signals. this method largely improves the system and the ability of detection. the spacing of line fringes is a function of incident laser wavelength, by analyzing, we can extract the wavelength of incident laser. the optical unit analyzing and results also simulated with matlab

    當背景光入射時，直接穿過干涉儀，僅發生強度的衰減，在兩個探測平面上產生幅度基本一致的灰度信號，通過差分放大器，相消為零，從而抑制了背景干擾。當激光信號入射，穿過干涉儀時受到調制，在探測平面上產生干涉條紋。通過所設計的存在平均厚度差的雙楔形干涉儀，兩路干涉條紋圖案出現相對移位：在兩個探測平面對應的位置上，一路出現亮紋，另一路出現暗紋。
  9. Through the analysis of extracting stabilization we found : it ' s suitable to use the lighting segment in little turbulence at night, but it ' s better to use the edge segment under bad environment such as strong turbulence, strong natural lighting and cloudy background

    從分割演算法的穩定性分析中發現：夜間弱湍流環境適合用亮度分割來提取目標；而白天的強湍流、強自然光和雲層背景等因素使得邊緣變化分割對目標提取更適用。
  10. And then in - depth researches are made in vehicle recognition features extraction and recognition method. in addition, a vehicle target recognition method with neural network is tested. the main results are as follows : 1

    主要內容如下: 1 .本文所處理的數據源隨著拍攝時間的變化視頻圖像的亮度有很大的差異，而且拍攝背景比較復雜，同一車輛目標在不同角度和姿態下其光照與紋理也有較大的變化。
  11. This illuminates the hidden side of our character, and allows us to separate the foreground of our picture from the background, adding an overall sense of depth

    它照亮了我們主角的隱藏邊，並且在加上全局的深度感覺之後，讓我們可以區分圖片的前景和背景。
  12. Sensors rotate the display from portrait to landscape as required, turn off the display to conserve power when a user lifts the phone to his ear and adjusts its brightness according to the light

    傳感器按需輪換屏幕背景，從肖像畫到風景圖，簡單易行；在用戶接聽電話時關閉背景以節約用電；並且根據周圍光線調整背景亮度。
  13. First, after the foreground is retrieved, the luminance test is used to reduce part the object region that has higher pixel ’ s intensity in the foreground than the corresponding background

    演算法首先對提取出來的前景區域進行亮度測試，去除前景區域中像素亮度值高於對應背景區域的區域。
  14. The amplitude feature and the phase feature of target highlights are acquired, and two cluster methods based on the two features are proposed. interference background is wiped out by cluster analytic methods, and distinct target image is achieved

    同時，提出了基於目標亮點幅度特徵和目標亮點方位特徵的兩種聚類方法，並用聚類分析方法從背景干擾中提取出了目標的亮點特徵，得到了清晰的目標圖像。
  15. When processing the shadow of foreground moving objects, in order to overcome the influence of illumination change of part or integrity in the image, the color model of brightness distortion and chrominance distortion is established to distinguish shaded background, highlight background, original background and foreground objects, and then select the threshold automatically to classify the pixel points in the image

    在處理前景目標的陰影問題時，為了克服了圖像局部或整體的光照變化的影響，通過建立亮度變化和色度變化的彩色模型，來區分陰影背景、高亮背景、普通背景及前景目標，然後自動選擇閾值對圖像的像素點進行分類。
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