有效圖像尺寸 的英文怎麼說

中文拼音 [yǒuxiàotúxiàngchǐcùn]
有效圖像尺寸 英文
effective picture size
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 像 : Ⅰ名詞1 （比照人物製成的形象） likeness （of sb ）; portrait; picture 2 [物理學] image Ⅱ動詞1 （在...
  • 尺 : 尺名詞[音樂] （中國民族音樂音階上的一級 樂譜上用做記音符號 參看「工尺」） a note of the scale in ...
  • 寸 : Ⅰ量詞（長度單位） cun a unit of length （=1/3 decimetre）Ⅱ形容詞（極短或極小） very little; very ...
  • 有效 : effective; valid; efficacious
  1. It is difficult to recognize the character directly in original image because the original image has big dimensions, which need big memory, and at the same time, there are many disturbed areas in the image. however, if we can locate license plate and segment character precisely, thus the capacity of storage can be reduced and the disturbance can also be avoided, and so the character will be recognized accurately, which can ultimately improve the efficiency and precision of the recognition system

    這是因為由攝像機得到的原始圖像尺寸較大，所需存儲空間較大，又有眾多的干擾區域存在，在圖像中直接對車牌字元進行識別是十分困難的，如能準確定位車牌區域和切分字元，可以減少存儲容量，避免干擾，進行準確的字元識別，從而提高整個識別系統的工作效率和識別精度。
  2. Tool wear image characteristic was studied at tool wear inspecting aspect and put forward " 十 window " automatic edge detection algorithm and resolved the problem of tool wear image edge extraction. the algorithms and programs calculating area, perimeter, width and length for tool wear image were developed for tool wear image. the better results were gained by experiments and improved edge orientation precision and geometry measure precision

    在刀具磨損檢測技術方面，研究了刀具磨損的圖像特點，提出了「十字窗」自動邊緣檢測演算法，解決了刀具磨損圖像邊緣提取問題，開發了刀具磨損的面積、周長、寬度、長度的演算法，開發了程序，經檢驗具有較好的檢測效果，提高了邊緣定位精度和幾何尺寸的計算精度。
  3. One of the common characters between traditional algorithms based on dct image coding is that regardless of the content of the image, they use a fixed size block to process, for example, jpeg, mpeg - 1 / 2, h. 263 use constant 8 * 8 block mode. the main work of this article is to propose a sequence images compression algorithm that is based on adaptive block dividing and object to the disadvantages of the one based on fixed - size block dividing. the proposed algorithm is an image compression method, which can auto - adjust dct block size ( 8 * 8 or 4 * 4 ) according to the difference of corresponding blocks between two frames of the sequential image and doesn ’ t process any unnecessary data blocks in order to enhance coding efficiency

    傳統的基於dct的圖像編碼演算法的一個共同特點就是:不管圖像的具體內容，採用固定的塊尺寸進行統一的處理，例如jpeg ， mpeg - 1 / 2 ， h . 263均採用固定的8 8分塊方式，本文的重點工作是針對這些採用固定的塊尺寸進行統一處理的演算法的一些缺點，提出了一種基於自適應分塊的序列圖像壓縮演算法，該演算法是一種根據序列圖像兩幀間對應塊的差別自動調整dct變換尺寸（ 8 8或4 4 ） ，對不必要的數據塊不進行處理，以提高編碼效率的序列圖像壓縮編碼方法，具有較高的編碼效率和較好的壓縮效果，與傳統的採用8 8固定分塊方式的壓縮編碼演算法相比，性能有較大幅度的提高，在文中，作者對兩者的壓縮編碼性能進行了分析比較。
  4. In this phase to solve the problem that the really face have some inclination and size is not always same, this thesis adjust the stand template thought calculate candidate face areas angle and area size. it can promote the veracity of template matching. at same time it avoid use different size template to try multi - times, the algorithm have higher efficiency

    本文使用平均模板匹配方法對候選人臉進行確認，並針對圖像中的人臉通常有一定角度旋轉和尺寸大小不確定的問題，通過計算候選人臉圖像塊的偏轉角度和面積，並以此調整模板，優化模板配準，提高模板匹配的準確性，同時避免使用多尺度模板進行多次匹配運算，提高演算法效率。
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