difference image 中文意思是什麼

difference image 解釋
差別圖象
  • difference : n. 1. 差異，差別。2. 不和，爭論。3. 【數學】差，差額。4. 【邏輯學】特殊性。vt. 〈罕用語〉區別，使有差別。
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  1. In course of auto - focusing, the paper takes the sum of the square of gray difference as focal distance evaluation function to decided that image is in focus or not quickly and put forward an effective auto - focus searching way based on threshold value and curve fitting. these improve speed and precision of auto - focusing

    在自動聚焦過程中，論文採用了圖象的灰度差分的絕對值之和的平方作為焦距評價函數，解決了是否正確聚焦的快速判斷問題；採用了一種行之有效的基於閾值和曲線擬合的自動聚焦搜索方式，使聚焦速度和精度都得到了很大的提高。
  2. The renascence of poem movement in american is the catalyst which evidence the oriental colour concealed in wen ' s aesthetic subconsciousness, even so they have the deep aesthetic difference, especially getting into the " real " situation, the orient was regarded as " the other ", so wen ' s poems become the counter write to the oriental image created by the west

    美國的新詩運動是促使聞一多審美潛意識中的「東方色彩」得以彰顯的契機，但二者卻有深刻的審美差異；尤其是進入現實語境后， 「東方」更呈現出「他者化」色彩，聞一多以自己的詩歌構成對這一現實東方形象的逆向書寫。
  3. Thirdly, according as the difference of precision, we may short the steps of edge extraction and improve the efficiency of algorithm with dilation algorithm. at last, with felicitical using algorithm of scanning beam, we attain the rigor edge image with texture

    2 ）在邊界連接中，根據對實際情況的研究，提出了一種具有通用意義邊界連接演算法3 ）根據精度要求的不同，可以利用膨脹演算法簡化輪廓提取的步驟，以提高演算法的時間效率。
  4. The difference between the two images is that on the full netinst image the base packages are included, whereas you have to download these from the web if you are using the business card image

    兩種映像檔的不同在於完整版的netinst映像檔包含了基本的軟體套件，而名片版映像的安裝方式則需要透過網路下載套件。
  5. To solve the first problem, frame difference information is used to direct the location of object regions of difference image frame, and then the objects location information come from d i f ference frame i s used to compound a background frame that does not include any moving object

    對背景建模問題，文中提出了根據幀差信息指導不同圖像幀中的目標物區域位置定位，據此用不同幀目標物區域像素值合成「空」背景的方法。
  6. Each virtual - loop ' s output signals mainly derive from the pixel difference between consecutive image frames within the virtual - loop area. when the result of consecutive frame difference is smaller than the threshold, current frame subtracts the background to produce the virtual - loop ' s signals

    各個虛擬線圈的輸出信號主要來源於幀間差分，當幀間差分的結果小於判斷閾值時，系統會自動調用減背景圖像處理方法來產生虛擬線圈信號。
  7. Due to the short distance among the planes which fly in a group, the conventional low resolution radar can not distinguish them in both distance and azimuth ? if we use the technology of isar to resolve the difference among doppler frequency of the targets and obtain a fine resolution cross - cross image, we may separate them, but a long time of coherent processing is needed <, for the formation targets, it can be approximately divided to rigid body and nonrigid body, so for the formation targets, that can be regarded as rigid which has a relative position and an identical movement, can be approximately considered as a large target, and be compensated by translational phase with the rule of minimum entropy, but for the most those cannot accord with the approximation of rigid, being the doppler - frequency of the aim is linear changed, by the relax method with short data, increases the resolving performance of multiple target to the aim in the frequency domain, since cross - range resolution is based on the accumulative time, so it is greatly improve the resolution to formation targets by the instant cross - range image which produced by radon - wigner transformation

    低分辨isan成像及干涉技術應用研究一因此直接無法分辨編隊目標的架數，我們借鑒isar的技術，通過較長時間的相干積累，在多普勒頻域上對目標進行分辨。而對于編隊目標，可分為近似剛性的多目標和非剛性的多目標，所以對于可以近似為剛體的編隊目標相對位置固定，運動方式一致，可以近似看作一個大目標，採用最小墑準則對平動相位的進行補償，但是大多數並不滿足剛體近似的編隊目標，由於目標在相干積累時間的多普勒頻率近似呈線性變化，通過對較短數據利用relax的時頻分析方法，提高了頻率域上目標分辨的性能。由於橫向解析度取塊于橫向積累時間，所以利用radnwigner變換得到瞬時的一維橫向距離像大大提高了對編隊目標的分辨，對模擬和實測數據的大量分析結果表明此方法的有效性和可行。
  8. This method utilizes the distribution property of image intensity. given the false alarm probability, the threshold for likelihood difference can be determined

    該方法利用sar圖像的強度分佈特性，根據虛警率確定相鄰區域之間存在邊界的似然差函數的閾值。
  9. Based on the preliminary knowledge of color coordinate, color space and color difference, in chapter 4, we focus on the image preprocessing, that is the gamut mapping between the color paper and the crt displayed image. color correction and its realization of our lcos digital image print head are also given in this chapter

    在第四章，我們重點研究的用於數碼沖印的顏色校正模塊及其實現，這一部分在簡要介紹色坐標與顏色空間，色差計算公式的基礎上，將重點放在數碼彩擴機目標色域以及源色域色域映射方法，密度計密度空間以及色度空間映射關系，即時色度與密度空間的關系等的研究。
  10. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  11. Then the noise is removed by means of the variance that is estimated directly from the median of the noise. finally, an auto - detection is made for the motion displacement from the difference image undergone the above pre - processings

    本文給出的方法以散射圖去除光照影響和靜止背景，用噪聲的中位數直接估計其方差，從而去除噪聲，檢測出由運動引起的變動，最後自動檢測運動距離。
  12. Because of the shortage of traditional unsupervised algorithm, three algorithms are proposed in the paper based on the spatial information of the difference image and the clustering characteristic of 2 - d histogram formed by pixel gray levels and the local average gray levels. the proposed algorithms segment the pixels of

    本文針對典型演算法存在的不足，充分利用差異圖象灰度空間分佈信息和差異圖象灰度-鄰域平均灰度二維直方圖的聚類特性提出了三種非監督變化檢測方法，將差異圖象所有像素分成變化和非變化兩個類別。
  13. Introducing and comparing the difference within the conception of area segmentation, motion segmentation and moving object segmentation vop extraction, and their application in content - based video sequence image coding. analysis the relationship between the frame difference image and its relative frame gray level image. then a new automatic moving object edge tracking and extracting method, based on the high correlation between the edge of frame difference and the edge of gray level image, was proposed. using the close of moving object edge to get the real moving object

    介紹比較區域分割運動分割和物體分割的概念及其在視頻序列圖像分割中的應用。分析說明各種運動狀態下幀差圖像與相應幀灰度圖像的關系。提出了基於幀差圖像邊緣與灰度圖像邊緣之間強相關性的運動物體邊界自動跟蹤提取演算法。
  14. Among the face tracking algorithm, we first use difference image to gain the raw - location, then in the limited position, we use two template matching to tracking face

    在人臉跟蹤的演算法中，採用了在差分圖像粗定位的基礎上，在一個確定的小范圍內利用雙模板匹配進行跟蹤。
  15. We make doppler beam sharpening ( dbs ) for the receive signal of every sub - aperture, then make difference image

    先對每個子天線接收到的信號進行成像處理，然後利用信號的幅相信息進行對消處理。
  16. Image difference is the most direct change detection method for change area extraction, but the gray difference image that is only based on spectral feature is difficult in describing the structure change of an objects

    圖像差分是實現變化區域檢測的最直接方法，但是僅僅根據地物光譜特徵差異得到的灰度差分圖像難以表徵地物局部結構的變化。
  17. The change detection process performed by unsupervised techniques is usually divided into three main sequential steps : pre - processing, image comparison ( to generate difference image ) and analysis of the difference image

    非監督圖象變化檢測過程通常可以分為預處理、圖象比較（得到差異圖象）和差異圖象分析三個步驟。
  18. Aims at application, we mainly discuss face detection in two circumstance. ( 1 ) in the gray image, we use difference image in multi - frames, then get the edge of the face, we make the raw - location to ensure the approximate position of the face, next, we use the template of the face to occlude the pseudo face region and get the region which near the exact face region. ( 2 ) use method of two template matching, first, we get the face template from many face average, second, we copy the eye section of the face template then get the eye template

    文中首先介紹了圖像預處理的各種方法，重點介紹了圖像分割和人臉檢測定位，針對實際應用的要求，著重處理了兩種情況的人像檢測定位： （ 1 ）在灰度圖像下對連續輸入的多幀進行差分，對于得到的邊緣進行處理初步確定人像的大概位置，然後採用模板匹配進行精確定位。 （ 2 ）應用雙模板匹配的方法，由多人臉平均得到人臉模板和眼睛模板，在檢測中採取了首先使用尺度相對較小的雙眼模板搜索候選人臉，再用人臉模板匹配進一步篩選候選人臉的方法。
  19. The coarse position of moving targets could be obtained by statistically analyzing the difference image that contains motion information, thus the start - up problem of active contour model is solved, and a new color force is constructed according to the image color information

    通過對含有運動信息的差分圖像進行統計分析，可以獲得運動目標的粗略位置，從而解決了主動輪廓的啟動問題。
  20. The steps of this change detection are : registering the multi - date image pairs, regularizing the image pairs, extracting the edges of the image pair, matching the edges of the edge - image pair, computing the edge difference image pair, marking the difference edges in the copies of the image pair

    該變化檢測法的工作流程為：多時相圖像配準、圖像標準化、提取參考圖像及檢測圖像的邊緣、匹配邊緣圖像中的邊緣並獲得邊緣差分圖像、標注變化情況。邊緣檢測運算元的性能直接影響變化檢測結果。
分享友人
分享到 Line

分享到臉書