亮度適應過程 的英文怎麼說

中文拼音 [liàngdùshìyīngguòchéng]
亮度適應過程 英文
luminance adaptation
  • 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
  • 適 : 形容詞1 （適合） fit; suitable; proper 2 （恰好） right; opportune 3 （舒服） comfortable; well Ⅱ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
  • 程 : 名詞1 （規章; 法式） rule; regulation 2 （進度; 程序） order; procedure 3 （路途; 一段路） journe...
  • 適應 : suit; adapt; get with it; fit
  • 過程 : process; procedure; transversion; plication; course
  1. Beyond all doubt, the judicatory independence is the most bright point of the judicial systems, is th e core principle of the civilization of the western country, and is the rime of the three hundred years " political revolution in western country. all kinds of clash and maladjustment reflected the typical clash and maladjustment in the transform of legal system

    毫無疑問，司法獨立是司法諸制度中的最亮點，它來源於西方近三百年政治革命和文化發展的結晶，是西方現代法治的核心理念，同時又為中國傳統社會所獨缺，因此在近代將這一西方化的制度引入並嫁接到傳統政體上的時候，其種種的沖突性的問題和不適應的現象也較為典型地反映了近代法制變遷過程的沖突與不適。
  2. 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。
  3. The study of this paper indicates that, the combined binarization method can keep details well and tolerate the abominable state ; the method to estimate skew angle based on radon transformation is very exact, and the distortion of corrected image is also very little ; the vlp location method based on wavelet analysis and intensity moment has a high location exactness and a soon processing time ; and intelligent character recognition machine can accomplish the function of self - adaption, self - correction, self - study, etc

    本文研究表明：混合二值化方法能較好的保留圖像細節，抗噪聲能力強；基於radon變換估計傾斜角度的方法檢測角度精確，校正後圖像失真較小；基於小波分析和亮度矩的車牌定位方法定位準確率高，速度快；仿人智能字元識別器則能實現識別字元過程中的自適應、自校正、自學習功能等。
  4. Firstly, this dissertation studies on the detection algorithms of highlight and shadow of tongue images in the preprocess flow. an adaptive area / lightness - based highlight detection algorithm and an improved shadow detection algorithm eliminating marginal shadow are proposed. by comparing with other algorithms, we find that the experiment results of the proposed algorithms are better

    首先，本文對預處理過程中反光點和陰影點的檢測演算法進行了研究，並提出了一種動態自適應的基於面積和亮度信息的反光點檢測演算法和一種能去除邊緣陰影的陰影點檢測演算法，取得了良好的效果。
  5. During image recognition, it reduces the yawp and improves the quality of the image with the technology of the median filter, it uses the method of maximum between - class variance to segment the object, then gets better effect. the algorithm is simple, and the adapted capacity is great. it doesn ’ t influence by the change between the contrast and lighteness of the image. so it applies on the real time system

    在圖像識別過程中，本文運用了中值濾波技術降低了噪聲，提高了圖像的質量，並採用了最大類間閾值分割法分割目標，得到了較好的效果，該方法計算簡單，自適應性強，在一定條件下不受圖像對比度與亮度變化的影響，因而在一些實時圖像處理系統中得到了廣泛的應用。
  6. When working in color mode, the module pursues to do the color regress work based on polynomial color regress algorithm, which make the images captured standard in color and brightness. while working in gray mode, the module transforms the color images to the gray ones, base on an algorithm which presented in this paper. the name of it is adaptable gray converting algorithm the merging module is the kernel of our capturing system

    當工作在彩色模式時，該模塊利用基於多項式線性回歸的演算法進行彩色圖像的顏色還原，使採集來的圖像在色彩和亮度上回歸到cie的標準色彩空間;工作在灰度模式時，該模塊利用本文提出的一種基於方差極值的自適應灰度轉換演算法進行彩色圖像轉灰度操作，自動實現了彩色轉灰度的過程中最大限度保留原有細節的目的。
分享友人
分享到 Line

分享到臉書