輸入圖像 的英文怎麼說

中文拼音 [shūrùtúxiàng]
輸入圖像 英文
i ut image
  • 輸 : Ⅰ動詞1 （運輸; 運送） transport; convey 2 [書面語] （捐獻） contribute money; donate 3 （失敗） l...
  • 入 : Ⅰ動詞1 （進來或進去） enter 2 （參加） join; be admitted into; become a member of 3 （合乎） conf...
  • 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...
  • 輸入 : 1 （從外部送到內部） import 2 [電學] input; entry; entering; in fan; fan in; 輸入變壓器 input tra...
  1. We study the cost of metro wdm in two aspects in chapter 2. for the aspect of components, a bidirectional optical add - drop multiplexer ( boadm ) using fiber gratings and circulators is designed, and is cheaper, simple and appropriate compenent for single - fiber bidirectional ring networks ( sfbrn ). for the aspect of network, after study the traffic - grooming problem and the cost of wdm ring networks, a layered network with a multi - hubs is presented to reduce the total number of the network ports

    在第三章，我們搭建了一個可以實現多業務單纖雙向傳送的sdh wdm網路平臺，以單根50km光纖作為物理媒質，以mux demux的為單纖雙向復用器件，以sdh wdm為傳輸手段，採用mstp技術，通過接入vlan模塊建成一個單纖雙向傳輸的局域網，並以此為基礎通過接入圖像編解碼器實現單纖雙向視頻傳輸，為城域寬帶接入網的多業務實現提供了範例。
  2. 2 moghaddam b, pentland a. probabilistic visual learning for object representation. ieee transactions on pattern analysis and machine intelligence, 1997, 19 : 696 - 710. 3 jolliffe i t. principal component analysis

    因此，當輸入圖像具有較大差異例如發型胡須眼鏡等的較大變化而對全局特徵造成較大影響時，本徵臉方法往往會失效。
  3. New york : springer - verlag, 1995, pp. 1 - 45. 12 kirkpatrick s, gellatt c d, vecchi m p. optimization by simulated annealing

    其主要步驟為：首先，手工把輸入圖像粗略地劃分為三個區域：前景區域，背景區域和未知區域。
  4. It adopts monocular ccd vidicon as input device, and processes the input image by computer, then gains the lane width of the location of the front vehicle on this lane, finally calculates the distance according to the model on distance between two vehicles

    它採用單目ccd攝像機作為輸入設備，用計算機對輸入圖像進行處理，從而得到本車道前車處的車道標線寬度，並進一步根據車距測量模型計算出兩車之間的實際距離。
  5. So, in this section, a double - passage 4f wavelet filtering optical system is put forward, combining with the visual computation theory. the dog wavelet function is selected in the filter system, and the output images are just the expected, hi this part, an optical - electrical mixed system model is also mentioned, which has the advantages both in optical processing and digital processing system, such as real - time > intelligence

    因此，文章在這一部分提出了一個雙通道4f小波濾波光學系統，並結合視覺計算理論，選擇了適合的小波母函數? ? dog函數製成濾被模片，對輸入圖像進行了不同尺度下的信息提取，得到了期望的輸出。
  6. That prompts for the url of image

    圖2顯示了一個提示輸入圖像url的
  7. In order to reducing the difficulty of processing, image pre - processing is necessary

    當然為減少處理難度，還需對輸入圖像進行預處理等操作。
  8. However, the performance of a minutiae extraction algorithm relies heavily on the quality of the input fingerprint images

    然而，細節提取演算法的性能好壞與輸入圖像質量有著密切的關系。
  9. It has two characteristics : new filters enhance input image edges by using laplacian operation ; designing filters is based on targets enhanced rather than their original

    它有兩個特點： （ 1 ）採用拉普拉斯運算元增強輸入圖像邊緣； （ 2 ）濾波器的設計是基於增強后的目標而不是原始目標。
  10. The log - polar transform ( lpt ) is a well - known space - variant image representation used in many image vision systems to eliminate the effects of scale and translation for the input image

    摘要對數極坐標變換是圖像的一個空間變體表示，很多圖像視覺系統用它來消除輸入圖像的縮放和平移效果。
  11. Then for the computing time of the traditional pca - based face recognition algorithm is very large, we use wavelet transform to reduce the dimension of images, and decrease computation complex

    針對傳統pca （主分量分析）方法運算量大的特點，本文通過小波變換對輸入圖像進行降維處理，降低了后續演算法的復雜度。
  12. When we get the surface model, we can project the vertex of polygons onto the input images to get the texture on the correspondent pixel and in turn get the texture on the surface model

    多邊形的法向是該錐體平面的法向量。在得到物體表么網格模型后，可以通過計算該多邊形對應于輸入圖像上的像素獲取紋理信息，進而映射得到物體網格平面紋理值。
  13. The main work is as follows : 1. firstly, video images are pretreated through segmenting regions corresponding to objects then tracking them after self - adaptive background subtraction and noise wiped

    主要工作如下: 1 .首先，對輸入圖像進行預處理，採用自適應高斯背景模型方法提取出運動的前景區域，對前景圖像進行去噪，分割處理，確定目標區域並對目標進行跟蹤。
  14. First of all, we select a referrence point pair of the input image and the template image. and then we transform the minutiae positions into polar coordinates. finally, we match the input image with the template one to judge whether these two images are captured from the same finger

    首先，找到輸入圖像和模板圖像的參照點對，然後將兩幅圖像中的細節特徵點相對于各自的參照點轉化為極坐標形式，最後進行比對，確定兩幅圖像是否來自於同一手指。
  15. ( 2 ) taking the nonlinear energy transfer property of the photorefractive two - beam coupling in the sbn : 61 crystal doped with 1000ppm cr and the knsbn crystal doped with 0. 07wt % ce, edge - enhancement preprocessing can be achieved, which will results in the larger normalized intensity and narrower width of the correlation peaks. and the discrimination of the jtc is greatly improved

    （ 2 ）利用sbn ： 61 ： cr晶體（ 1000ppm ）和knsbn ： ce晶體（ 0 . 07wt ）的二波耦合能量非線性轉移特性，對聯合變換相關器的輸入圖像進行邊緣增強預處理，提高了相關峰的歸一化強度，減小了相關峰的半寬度，從而大大提高了相關器的識別能力。
  16. To solve this inconsistency effectively, we don ’ t confine to one single fusion method or wavelet coefficients fusion rule, but combine them together and improve them. we consider several eigenvectors of the input images synthetically, and use the discrete biorthogonal wavelet transform at the lowest decomposition level to fulfill the new cwt - ihs multisensor remote sensing image fusion algorithm based on color compensation rule

    為了有效地解決這一矛盾，本文不局限於單一的圖像融合方法和小波系數融合規則，而是將各種方法和規則結合起來並加以改進，綜合考慮輸入圖像的多個特徵向量，用最低層的離散雙正交小波變換實現了一種新的基於顏色補償的cwt - ihs多源衛星遙感圖像融合演算法。
  17. The forth part introduces the hardware design of embedded remote watching based on wavelet video compression. the schematic drawing and the circuit board is presented. up to now the image can been outputted through the circuit board

    第四部分針對當前比較流行的嵌入式遙視，對一個基於小波視頻壓縮的實際遙視應用系統做了硬體設計，完成了硬體原理圖的設計和實驗電路板的製作及調試，目前實驗電路板已經能夠輸出圖像。
  18. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    我們首先根據採集的樣本圖像構造一個協方差矩陣，然後求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造出一個特徵空間，然後將輸入圖像向該特徵空間映射，將獲取的映射系數與樣本庫中圖像的映射系數進行距離計算，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  19. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every image in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    然後，根據採集的樣本圖像構造一個協方差矩陣，求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造一個特徵空間，將輸入圖像向該特徵空間映射，計算獲取的映射系數與樣本庫中各類圖像的映射系數的歐基里德距離，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  20. First of all, the paper introduces the pre - prepare work for the algorithm, that is the pre - processing of gene chip images. the part includes denoise and segmentation. the method of denoising is wavelet denoising with phase preserving and the segmentation is adaptive thresholding. finally, the acquired denoised binary image is referred to input image for the algorithm

    這一部分分為去噪和分割兩步，其中去噪方法使用的是相位保留小波去噪法，分割方法使用的是自適應閾值分割，最終得到被去噪的二值圖像，其被用作演算法的輸入圖像。
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