灰度標 的英文怎麼說

中文拼音 [huīdùbiāo]
灰度標 英文
grey scale
  • 灰 : Ⅰ名詞1 （物質燃燒后剩下的粉末狀的東西） ash 2 （塵土; 某些粉末狀的東西） dust 3 （特指石灰） lime...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  1. Moreover, aiming at the location of inclined license plate, we have proposed the algorithm based on gray changing characteristic and orientation field. in this section, we discussed in detail the application of mathematical morphology operator in rough locating objective region and introduced the theory and realization method of orientation field. then we used it to detect inclined angel of objective region, finally we can precisely locate and emendate the inclined license plate based on detection result, and so we provided the favorable foundation for segmenting character

    此外針對傾斜車牌區域的定位分割問題，提出了基於灰度變化特性和方向場計算的定位演算法，其中詳細討論了數學形態學運算元在目標區域粗定位中的應用，重點介紹了方向場計算理論和實現方法，並將其應用於目標區域傾斜角度的檢測，根據檢測得到的結果進行了傾斜車牌區域的準確定位和校正，為后續的字元分割打下良好的基礎。
  2. Targets in the radar ppi have the main property of the little area, a few targets and irregular change of grey. so it is difficulty to detect and track the target. the study of the radar ppi is very few inland and abroad. with the development and implement of high resolution radar and high resolution raster display, target _ tracking and detecitng based on the radar ppi will be feasible. it ' s great excellence is to increase time accumulation compare with the detecting techenicial of the traditional radar

    雷達ppi中目標的特點是面積小，目標或可能的目標多，灰度、形狀變化無明顯規律，所以檢測和跟蹤目標比較困難。基於雷達ppi的研究國內外甚少，隨著高解析度雷達和高分辨光柵顯示器的發展，基於ppi的雷達目標檢測和跟蹤成為可能。與傳統的雷達目標檢測技術相比，其潛在的優勢在於大大增加了信號的時間積累，因此有可能提高檢測性能。
  3. In ndt fields, ict ( industrial computed tomography ) can get the 2d tomogram and the technician can get the information of the location, the shape and the area of the details

    工業ct在無損狀態下能獲得被檢斷面的二維灰度圖像，從圖像上可以直觀地看到目標細節的位置、形狀、大小。
  4. The paper abstracts out the palmprint mainline characteristic owing to palmprint image gradation by the gray value characteristic property method, defining the online palmprint characteristic space with the form of the polar coordinate and compressing the dimension, at last we use the neural network to accomplish the design of identification authentication system with the on - line palmprint as the mating algorithm. based on this, a fast and reliable system of identification authentication can be built

    採用基於掌紋圖像灰度特性的方法提取出掌紋的主線特徵，以極坐標的形式定義在線掌紋的特徵空間並降維處理，最後用神經網路作為匹配演算法完成在線掌紋身份驗證系統的設計，以此為基礎建立了快速、可靠的新型身份認證系統。
  5. In order to raise the image expressing ability of the detail of potential field data, a method of determining color specification file based on field value gradient is brought up from the idea of non - uniform whole quantity

    為了提高圖像表達位場數據細節信息的能力，借鑒圖像灰度非均勻整量的思想，給出了一種基於場值梯度的色標文件生成方法。
  6. Dsps is used to accurately detect the moving area of multi - moving objects and information of their geometrical position in the system, at the same time, it pick up the parameters of geometrical feature, gray feature and planar velocity of each area, at last, we integrate the techniques of multi - moving objects detection and construct a self - adapted system to track multi - moving objects. the camera is controlled to keep the object in its field of view. therefore we achieve a real time system to track the multi - moving objects in the complex scenes

    本系統利用dsps精確檢測出多運動目標的運動區域及其幾何位置信息，並對各個運動區域進行幾何特徵參數、灰度特徵參數和運動速度參數的提取，最後根據這些特徵參數值結合多目標運動狀態檢測技術構建了多運動目標自適應跟蹤系統，並根據已經計算出的運動目標的速度矢量，通過雲臺裝置控制攝像頭的轉動，使得特定運動目標始終位於攝像機的視野中，從而完成對復雜背景中多個運動目標中特定目標的實時跟蹤。
  7. A new image quality assessment criterion is suggested on the basis of the statistical features of the gray - level histogram of images to control the iterative procedure of the proposed image enhancement algorithm

    同時為了結束迭代增強，基於圖像灰度直方圖分佈的統計特性，提出了一種客觀的圖像質量評價指標。
  8. Studies on approximate normalization algorithm of image greyscale distribution

    圖像灰度分佈的近似標準化演算法研究
  9. A method for extracting building roof region is presented, which is based on fitting ground points of vertical lines f rom multiple aerial images

    另外，還針對屋頂灰度變化較均勻的建築物，研究和提出了一種基於多幅圖像垂直邊緣地面點坐標擬合的建築物屋頂區域提取方法。
  10. With the basis of the system of nonlinear equations which is established by minimizing the error quadratic sum of theoretical and actual shaded value of the points on the typical surface, the parameters of the illumination models can be firstly determined by means of the least - square procedure

    首先，以典型曲面上各點的理論灰度值與實測灰度值的誤差平方和最小為目標建立非線性方程組，以非線性最小二乘理論為基礎，通過解非線性方程組確定光照模型各個參數值。
  11. With the basis of nonlinear least squares theory, the system of nonlinear equations is established by minimizing the error quadratic sum of theoretical and actual gray level of the points on the typical surface, and the parameters of the illumination models can be determined by means of the least - squares procedure

    以非線性最小二乘理論為基礎，以典型曲面上各點的理論灰度值與實測灰度值的誤差平方和最小為目標建立非線性方程組，通過求解非線性方程組來確定光照模型的各個光照參數。
  12. In general, this gis has following characters : i ) this gis provides strongly query function for sub - compartments and compartments such as from map to table, from table to map and from table to table ; ii ) this gis provides strongly report outputting function ; iii ) this gis create zst landscape structure evaluation function

    尺度分析是採用單位蓄積量和中山陵tm4波段影像（ 256 256像元）的灰度值兩種指標分別分為3個和8個尺度對中山陵景觀進行分析，結果表明可以將中山陵森林景觀分為3個尺度（小班、林班和作業區）進行經營管理。
  13. In the skeleton extraction, an novel approach for extracting the skeletons directly from the gray images is developed by simulating the procedure of water eroding the topography surface. the resultant skeletons are single - pixel width and connected. it also lies in the middle line of the object and keeps the topological properties of the original image unchanged

    在骨架提取方面，論文提出了一種通過模擬水流沖刷地形表面的過程來直接從灰度圖象中提取目標的骨架的高效演算法，它可以得到連通的、保持目標的拓撲屬性的、處在目標的中線上的、近似單象素寬度的骨架。
  14. In this thesis, some key issues of the vr technique are systematically investigated. firstly, for the image filters and image interpolation between slices, a integrated interpolation algorithm is presented based on the contour shape and correspondence matching, which keeps the shapes and grays information the objects of interest. secondly, the fidelity of effect of the vr for medical images is studied, and a continuous - gradient - based method for transparent volume rendering is proposed, which vivifies the results of volume rendering

    首先，研究了醫學斷層圖像數據的濾波及層間插值技術，提出了一種基於輪廓形變和對應點匹配相結合的混合插值演算法，在實現圖像層間插值的同時保持了目標的輪廓形狀與灰度信息；其次，對醫學影像容積重建效果的逼真度進行了研究，提出了一種基於連續梯度轉換函數的互動式透明體繪制方法，使重建效果更加生動、真實。
  15. The main work completed in the paper is listed as following : 1. image function acquisition -, 2. read bmp files by dib format ; 3. drawing gray scale histogram ; 4. choose a optimum threshold and make gray image become binary image -, s. find image ' s contour points by making inner points become empty and apply template matching on the contour points ; 6. transform the object ' s beginning points ( pixel point ) to the ones in the image coordinate and the positions of in the corresponding three dimensions ; 7. compute the position vector and the normal vector of the object

    選擇一個最佳闋值，把灰度圖像進行二值化處理； 5用掏空內部點法，找到圖像的輪廓點，然後在輪廓點上進行模板匹配； 6把輸出的目標物開始點（像素點）轉化成圖像坐標系中的點和對應的三維空間的坐標位置； 7計算目標物的位置矢量和法向矢量，根據機器人抓取面的法向矢量，找到機器人要抓取的平面； 8
  16. In the course of image preprocessing, digital face images are captured with a numeral camera and these images are transformed to 8 bit from 24 bit. then the noise in face images are removed by using the method of median filter and the face images are binarized. finally the face in each face image are segmented with the method of integration projection, then standardized

    在圖像預處理過程中，首先利用數碼相機獲取人臉數字圖像，然後將24位圖像轉換成256級灰度圖像，並利用中值濾波的方法對圖像進行去噪處理，接著對圖像進行二值化處理，最後採用積分投影的方法將人臉分割出來並進行歸一化，最終得到標準人臉圖像。
  17. Grey scale for assessing change in colour

    評定顏色變化用灰度標
  18. Standard test method for evaluation of visual color difference with a gray scale

    用灰度標評定顏色變化的標準試驗方法
  19. In this algorithm, the system makes geometry and grey standardize on the images located, then extracts the features base on the kl transformation, at last matches them with the feature samples in sample library and output the most suitable image. the recognition rate is about 78 % he mingzhong ( application of computer science ) directed by prof. wang lingquang

    在人臉的自動識別演算法中，本系統對定位后的人臉圖像做了幾何標準化和灰度標準化操作，採用kl變換進行降維處理，提取出人臉圖像矢量，與樣本庫中的特徵樣本進行匹配，選取最為匹配的人臉圖像作為輸出。
  20. In statistical pattern recognition algorithm, the system makes geometry and grey standardize on the images located, then extracts their features base on three kinds of integration projection curve. at last matches them with the feature samples in sample library and output the most suitable image

    在人臉的統計識別演算法中，系統對定位后的人臉圖像做幾何標準化與灰度標準化處理，並基於三類積分投影曲線抽取人臉特徵，與樣本庫中的特徵樣本進行匹配，選取最為匹配的人臉圖像作為輸出。
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