difference image中文是什么意思

發(fā)音:

中文翻譯
造句

差別圖象
差值圖像

difference n. 1.差異，差別。 2.不和，爭論。 3.【數(shù)學(xué)】差 ...
image n. 1.像，肖像，畫像；偶像。 2.影像，圖像。 3. ...
image difference 圖像差
difference n. 1.差異，差別。 2.不和，爭論。 3.【數(shù)學(xué)】差，差額。 4.【邏輯學(xué)】特殊性。 There is no difference between them. 兩者毫無差別。 the difference of jetsam from flotsam 棄貨不同于浮貨。 What difference can it make 不是一樣嗎？ He is an artist with a difference. 他是別具風格的藝術(shù)家。 distinction without difference 無聊的區(qū)別。 make a difference 發(fā)生差別；使…有差別；(結(jié)果等)是重要的，有關(guān)系[影響] (One false step will make a great difference. 失之毫厘，謬以千里。 Don't let it make any difference. 沒關(guān)系。 make a difference between A and B 使甲乙有別，對甲乙不一樣)。 pay [meet] the difference 付差額金。 seek common ground while reserving differences 求同存異。 settle differences 調(diào)停。 split the difference 1. 折中，妥協(xié)。 2. 均分剩下的東西。 vt. 〔罕用語〕區(qū)別，使有差別。
difference in 在……方面的差別
no difference 忘絕境界
the difference 差別; 老師改變了男孩的人生; 區(qū)別
there is no difference 沒有差別
difference-in-difference 倍差法
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.【語言學(xué)】形像化的比喻，象喻。 7.【心理學(xué)】概念，意象；心象。 graven image 雕像。 image frequency 圖像頻(率)；鏡頻。 real image 【物理學(xué)】實像。 television image 電視像。 virtual image 【物理學(xué)】虛像。 God's image 人體。 He is the image of his father. 他活像他父親。 the spitting image of 同…完全一樣的人[物]。 speak in images 用比喻講；說話形像化。 thinking in terms of images 形像思維。 vt. 1.作…的像，使…成像。 2.反映。 3.想像。 4.形像地描畫；用比喻描寫。 5.象征。 adj. -less 缺少形象的。
image will 虛井
difference limen difference test 強度辯差閾差異試驗
a proposal with a difference 別具一格的求婚
a qualitative difference 質(zhì)量上的差別
a quantitative difference 數(shù)量上的差別
a slight difference 微小的區(qū)別
a-v difference 動靜脈血氧差
ab difference 上下牙槽基底的差
absolute difference 絕對差分; 絕對差絕對差
adjust the difference 理算差額
adjustment of the difference 差損理算
advancing difference 進差
age difference 年齡差異
algebraic difference 代數(shù)差
altitude difference 高差; 高程差; 高度差

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例句與用法

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，然后利用信號的幅相信息進行對消處理。
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
在人臉跟蹤的算法中，采用了在差分圖像粗定位的基礎(chǔ)上，在一個確定的小范圍內(nèi)利用雙模板匹配進行跟蹤。
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(jiān)督圖象變化檢測過程通?？梢苑譃轭A(yù)處理、圖象比較(得到差異圖象)和差異圖象分析三個步驟。
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(xiàn)變化區(qū)域檢測的最直接方法,但是僅僅根據(jù)地物光譜特征差異得到的灰度差分圖像難以表征地物局部結(jié)構(gòu)的變化。
Then the scheme based on red eye effect , difference image and kalman filter is adopted . this paper pay attention to introduce the designing of system , the hardware development for capturing image , and algorithms of detection & tracking of pupil
本文完成了該系統(tǒng)的總體設(shè)計，開發(fā)了視頻圖像的獲取硬件，研究了瞳孔檢測與跟蹤的算法，并應(yīng)用此系統(tǒng)進行了實驗。
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(shù)直接估計其方差，從而去除噪聲，檢測出由運動引起的變動，最后自動檢測運動距離。
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(tǒng)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。
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(jù)幀差信息指導(dǎo)不同圖像幀中的目標物區(qū)域位置定位，據(jù)此用不同幀目標物區(qū)域像素值合成“空”背景的方法。
Then the processing methods of inter - frame information in video are presented in detail . the paper discusses video processing technical based on difference . after processing of morphologic operations : image eroding and dilating , we get the binary image to every difference image of video
為了確定圖象中人臉的位置，本文引入幀間信息處理技術(shù)，采用差分分析方法并利用預(yù)處理后差分圖象的統(tǒng)計特征，提出一種基于二階微商算子的人臉定位方法。
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
基于運動點目標在鄰幀差分圖像中所具有的近鄰反相特征,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(fù)雜背景下,基于紅外序列圖像的運動點目標檢測算法.本算法利用該特征在鄰幀差分圖像中檢測反相點對,進而構(gòu)造反相點對矢量圖,最后依據(jù)累積反相點對矢量圖中多矢量首位相接的連續(xù)性檢測出運動的點目標.文中給出并證明應(yīng)用本算法能以概率1檢測到運動點目標的收斂性定理.對典型復(fù)雜背景下10幅1000幀圖像的仿真結(jié)果表明,當信噪比大于或等于1 . 5時,可以有效檢測出運動點目標

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