選取顏色 的英文怎麼說

中文拼音 [xuǎnqǔyánshǎi]
選取顏色 英文
get colors
  • 選 : Ⅰ動詞1. （挑選） select; choose; pick 2. （選舉） elect Ⅱ名詞（挑選出來編在一起的作品） selections; anthology
  • 取 : Ⅰ動詞1 （拿到身邊） take; get; fetch 2 （得到; 招致） aim at; seek 3 （採取; 選取） adopt; assume...
  • 顏 : 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 : 色名詞[口語] （顏色） colour
  • 選取 : select; choose
  • 顏色 : [口語] pigment; dyestuff
  1. System colors tab, color picker dialog box

    「顏色選取器」對話框- > 「系統顏色」選項卡
  2. In this dissertation, towards different states of tongue, we define different tongue pathology areas, propose relevant sub - images selection methods and gets research objects ; according different states of tongue, this dissertation compares different ways to extract texture features and classifies states of tongue well using the most appropriate features, making preparation for the auto - diagnosis of symptoms and diseases ; the dissertation sets up a texture - based symptom diagnosis model and diagnoses asthenia and sthenia syndrome and external and internal syndrome more accurately ; moreover, based on expert knowledge, this dissertation uses texture, colors and shape information of tongue images, to survey diagnosis of some diseases. first, the red prickles classification is studied in the dissertation

    本文針對不同的舌象，確定了不同的舌病理區域，提出了相應的舌子圖像選取方法，明確了紋理特徵的研究對象;針對不同的舌象，比較了多種紋理特徵提取方法，確立了每種舌象的最佳紋理特徵，較準確的分類了各類舌象，為證候和疾病的自動化診斷做好了準備;建立了基於紋理特徵的證候診斷模型，應用該模型，較準確的診斷了虛實證候和表裡證候;此外，基於專家知識，本文融合了舌圖像的紋理、顏色和形狀信息對部分疾病的自動診斷進行了研究並取得了較好的結果。
  3. Effectively demonstrating courseware by texts and graphs, selecting appropriate diagram for the data ; techniques for picture obtainment and treatment through photoshop and iphoto ; public speaking skillsformat design, color choice, font selection, content edition ; making brochures, and ; on - line playing slides

    有效地用文本圖表演示課件為某一類數據選用適宜的圖表photoshop iphoto獲取和處理圖片的技術演講技巧版式設計，顏色採用，字體選擇，內容編輯製作宣傳手冊在線播出的幻燈片。
  4. Colorful maze diagram result : magician s pawn in will aly white hands over to audience, and tell there are two point of departures on the audience maze diagram, inviting audience to allow to select by examinations a point of departure to place. the game starts inviting audience to turns over to open a small card to use the ambulation direction that the numeral and the color of the card decides pawn and treads a number at will again now. if is red 2 is general such as the mark of the maze diagram diagram, the arrowhead of the red is upward, so the pawn headings up to move two step, with this kind until all of seven small cards use up. the position that the result pawn stops over finally, choose with audience in advance of the small card color, numeral is completely same

    ：魔術師在將一個白色的棋子交給觀眾，並告訴觀眾迷宮圖上有兩個起點，請觀眾任選取一個起點來放置。現在游戲開始了請觀眾再隨意翻開一張小卡片用卡片上的數字和顏色來決定棋子的移動方向和步數。如果是紅色的2就如迷宮圖上的標示圖一般，紅色的箭頭是向上的，所以棋子就向上移動兩步，以此類直到七張小卡片全部用完為止。
  5. Hsv color space that is consistent with human eyes is selected ; achromatic information is used as the weigh on the hue value for strange pixels

    顏色空間選取與人類視覺一致的hsv空間，在奇異點附近以非彩色信息作色調值的加權值。
  6. To display the color picker dialog box

    ）以顯示顏色選取器對話框。
  7. Click the ellipsis button to display the color picker dialog box

    單擊省略號按鈕（ ）以顯示顏色選取器對話框。
  8. Alltmedan ni markerar block, kommer spotsrknaren lngst ner p skrmen att ka i antal. notera att det r mjligt att markera mer n 15 nummer, dock kan inga nummer dras tills antalet nummer r reducerat till 15 eller mindre

    注意：您選號超過15個后無法開獎，直到選號減少至低於15個為止取消某個選號，請在該號碼上單擊即可，背景也會變回到原來的顏色。
  9. According to human vision character rgb color space is converted to hsv color space. instead of the gray information, the hue information is used as the model parameter

    首先從人眼視覺特徵出發，將彩色視頻序列從rgb顏色模型轉換到hsv顏色模型，選擇色調屬性作為基本的識別參數，用色調信息取代主動形狀模型中原本使用的灰度信息。
  10. For example, the color picker drop - down list in a property grid enables you to select a color for a color property on a web control

    例如，屬性窗格中的顏色選取器下拉列表使您可以為web控制項上的顏色屬性選擇一種顏色。
  11. We designed and made the attraction device to attract agricultural pests, obtained agricultural pests " images with the color camera, processed images based on wavelet analysis. on the basis of these, we emphasized on extracting effective features, put forward recognizing pests " classes with pests " colors and texture features, and succeeded in extracting five efficient features such as color features, wave image edge moments features and so on. then we selected features, inputted into neural network classifier, recognized pattern, presented detection results

    本文設計製作了誘捕裝置，誘集農田害蟲，使用攝像頭攝取害蟲圖像，採用小波分析進行圖像處理，在此基礎上重點進行了特徵提取工作，提出了利用害蟲顏色和紋理等特徵進行種類識別的觀點，並成功提取了彩色特徵、小波圖像邊緣矩特徵等五類有效特徵，並經特徵選擇后輸入神經網路分類器進行模式識別，最後給出檢測結果。
  12. The bitmap for the disabled state usually resembles the one for the up state but has lower contrast ( like a dimmed or grayed menu selection )

    禁止存取狀態的按鈕的位圖通常和正常狀態的一樣，但是顏色的對比度較小，就象變灰的菜單選項一樣。
  13. The main work of the thesis is as follows : we design a novel omni - mirror more applicable in robocup, which is made up of an isomeric horizontal mirror and an isomeric vertical mirror and can make the resolution of the imaging of the objects near the robot on the field constant and make the distortion of the imaging of the objects far from the robot small in vertical direction ; we select a 1394 digital color camera and complete the development of its software program for data acquisition ; we design a image processing algorithm for the panoramic image, which can segment the image by color, extract the features of image fast and effectively and complete the recognization of target ; according the character of the imaging, we design a new fast hough transform algorithm for line detection, which can detect the white mark lines of the field realtimely, and then design a robot ’ s self - localization method based the mark lines, which only uses the information of omni - vision system ; finally we design a monte carlo localization method based on the information of omni - vision system and odometry, and present the localization results of two localization methods and analyze the experiment results and get the conclusions

    本論文的主要工作如下:設計了一種新的更適用於機器人足球賽的全向反射鏡面，該鏡面由水平等比鏡面和垂直等比鏡面組合而成，能夠使機器人近處一定范圍內水平場地上的物體成像解析度不變，遠處物體成像高度上變形較小;選擇了一款基於1394介面的數字攝像機，並完成其數據採集程序開發;針對全景圖像設計了圖像處理演算法，能夠快速有效的實現圖像顏色分割和圖像特徵提取，完成目標識別;根據全景圖像的成像特性，設計了一種新的用於直線檢測的快速hough變換演算法，能夠實時的提取出場地的白色標志線，並在此基礎上設計了完全利用全向視覺信息的基於標志線的機器人自定位方法;最後設計了一種基於全向視覺信息和里程計信息的montecarlo定位方法，給出兩種方法的定位結果，並分析實驗結果，給出結論。
  14. Select the pen tool and grab some color

    選擇鋼筆並抓取一些顏色。
  15. Gets or sets a value indicating whether the dialog box contains controls that allow the user to specify strikethrough, underline, and text color options

    獲取或設置一個值，該值指示對話框是否包含允許用戶指定刪除線、下劃線和文本顏色選項的控制項。
  16. The color model selection during color image processing is briefly described, and the meanings of characteristic exponents to indicate color features are introduced

    摘要簡述了彩色圖像處理技術中顏色模型的選擇，介紹了用來表徵顏色的特徵量含義，提取東北常見4個樹種表面顏色特徵參數值，並對各參數值進行了比較分析。
  17. Gets or sets the selected font color

    獲取或設置選定字體的顏色。
  18. 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。
  19. If you select a color from the color picker dialog box rather than from the drop - down list, a hexadecimal rgb color value is inserted rather than the color name

    如果您從「顏色選取器」而不是從下拉列表中選擇顏色，將插入十六進制的rgb顏色值而非顏色名稱。
  20. For visually picking a color

    ，以便以可視的方式選取顏色。
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