視差圖像法 的英文怎麼說

中文拼音 [shìchātúxiàngfǎ]
視差圖像法 英文
anaglyph method
  • 視 : Ⅰ動詞1. （看） look at 2. （看待） regard; look upon 3. （考察） inspect; watch Ⅱ名詞（姓氏） a surname
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 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...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. In the technique of pre - processing on night vision images, such algorithms as image registration, non - uniformity correction, image enhancement are mainly studied and realized. an innovatory algorithm of full - scale non - uniformity correction on ir images is presented and an arithmetical progression histogram equalization algorithm in the enhancement of image is validated and developed in this dissertation

    在夜視圖像預處理技術方面，主要研究實現了圖像配準、非均勻校正、圖像增強等演算法，並創新性地提出了紅外圖像基於全局的非均勻校正演算法，驗證並發展了等差數列直方圖均衡圖像增強方法。
  2. In chapter five, the research work focus on color gamut transform correction in panel display. a method of color gamut transform correction which introduces the concept of virtual gamut space is presented to solve the problem of luminance and chromic disuniformity which arises from the differentia of chromic and drive characteristics of each module or pix on the same display panel. and the high quality of image displayed on the panel is ensured

    提出了克服同一種平板顯示屏由於各個顯示模塊（顯示象素）的色度空間特性和中國科學院長春光學精密機械與物理研究所博十學位論文基十擬合逼近理論的平板圖像顯示技術研究基色驅動顯示特性的差異而造成的平板顯示屏色度和亮度分佈不均的有效方法，解決了平板顯示屏的全屏幕亮度、色度一致化的問題，保證了高質量視頻圖像的顯示。
  3. 2, under equally see the quantity, compress the calculate way s exportation code plain deal connect the good and bad that decide its function of the good and bad, or say, output the code the term of same alike rate the bottom, and the portrait quantity reflected the function of the compression calculate way. adopt with dv all because of the m - jpeg an inside compress the way, efficiency of their compression certainly want lower than mpeg2. certainly, this is an average circumstance, at the time that low code rate, the mpeg2 can compare the m - jpeg compression the ratio high and a lot of but keep the good diagram to resemble the quantity ; but at request the diagram to resemble the quantity the good time for example the sow the room program edit with empress period creation, their difference to is not very big. too is to say, just at the compression efficiency that not emphasize the portrait quantity that the circumstance, mpeg2 is high

    2在同樣的視頻質量下，壓縮演算法的輸出碼率直接決定其性能的優劣，或者說，輸出碼率相同的條件下，圖象質量的優劣反映了壓縮演算法的性能。由於m - jpeg和dv都是採用幀內壓縮方式，它們的壓縮效率當然要比mpeg2低。當然，這是一個平均情況，在低碼率的時候， mpeg2可以比m - jpeg的壓縮比高很多而保持較好的圖像質量而在要求圖像質量很好的時候比如演播室節目編輯和後期製作，它們的差別不是很大。
  4. The detection of interest points is the basis of kinds of computer vision applications, such as : camera calibration, 3d reconstruction, image matching, video retrieval, motion estimation, etc. in this paper, three impersonal criteria : delocalization, false - detection rate, and repeatability are presented to evaluate the performance of an interest points detection algorithm

    興趣點檢測是許多計算機視覺應用的基礎，如：攝像機定標、三維重建、圖像匹配、視頻檢索、運動估計等。本文首先給出了一個評價興趣點檢測演算法性能的客觀標準，這個標準包括以下三個準則：點位置偏差、誤檢率及重復度。
  5. At the present time the prediction method of attracting pest with black light and recognizing and counting by man is generally adopted. there are some serious shortages such as bad recognition accuracy and low efficiency. it reduces seriously accuracy and timeliness of prediction and is disadvantage in guiding insect disease prevention

    目前普遍採用的黑光燈誘集害蟲、人工識別計數的測報方法，存在識別準確性差、效率低等嚴重缺陷，極大地降低了測報的準確度和時效性，不利於指導農田害蟲的防治工作，因此本文提出了基於機器視覺和小波分析的圖像識別技術，用於農田害蟲的自動檢測預報。
  6. Image difference operation is applied to video images taken with image capture device, then statistical computation is performed to judge whether there is vehicle violating the regulations, and corresponding measures are taken

    由攝像頭獲取的視頻圖像經計算機進行圖像差分運算，結合統計演算法由計算機根據所得數據判斷監測區域是否有違章車輛出現並作出相應的處理。
  7. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  8. The algorithm described is able to accomplish the coordinate transition from virtual object coordinate system to the hmd coordiante system in augment system and to provide the 3d image with parallax

    該演算法能夠很好地實現已知幾何描述的虛擬物體從其自身坐標繫到增強現實系統坐標系的轉換，並能夠生成具有視差的左右眼立體圖像。
  9. A nonlinear visual mapping model of the 2d eye - in - hand robotic visual tracking problem is proposed and a new visual tracking controller based on artificial neural network with bp - ga mixed algorithms is designed. simulation results show that this method can drive the static tracking error to zero quickly. moreover, a new nonlinear visual mapping model of the 3dof eye - in - hand robotic visual tracking problem is studied and a new visual tracking

    （ 5 ）針對基於圖像雅可比矩陣的機器人手眼平動視覺跟蹤問題，建立了新的視覺映射模型，提出了基於bp一ga混合學習演算法的人一神經網路機器人平動視覺跟蹤方法，模擬結果表明該方法控制下系統跟蹤誤差快速趨近於零。
  10. “ semantic gap ” is the gulf between the low - level image visual feature and high - level concepts, the images can be different of semantic concept while having similar visual feature, and they can also be different of visual feature while having the same concept

    「語義鴻溝」是指圖像的低級視覺特徵和高級語義特徵之間的差距，由計算機計算出來的低級特徵的相關性很難說明圖像在語義層上的相似性，語義層上的相似性也無法證明低級特徵的相關性。
  11. This bias mainly come from the un - uniform characteristics of the system and the couplings between the receiving channels. if we use fourier transformation to retrieve the image, the errors introduced by this bias will not be represented

    如果使用理想的傅立葉方法反演亮溫圖像將反映不出系統的不理想因素，而且因為這些誤差對于可視度函數值的影響不同，一一剔除是極其困難的。
  12. To develop the system to an automatic system, we have studied how to improve measurement precise by image processing after fast aiming. we use median filter to filtrate noise, use sobel arithmetic to detect the edge, and use kitchen - rosenfeld method to detect corners

    第一種方法著重研究了視頻採集和屏幕懸浮透明瞄準坐標系的同步顯示以及提高瞄準精度的途徑；第二種方法則著重研究快速瞄準后通過圖像處理技術自動獲得誤差補償數據。
  13. A novel and efficient dense matching method is proposed, which is based on the propagation by the voronoi decomposition of the images. the significant merit of the algorithm is that it can be applied to a wide range of image pairs including those with large disparities, with or without rectification

    提出了一種基於圖像劃分的傳播式稠密匹配演算法，該演算法不僅適用於未經校正的圖像對，而且適用於存在大視差的圖像對，以及圖像中紋理稀疏的區域。
  14. Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients, this dissertation fully exploits the following theories and methods : scalar quantization, vector quantization, trellis coded quantization, trellis coded vector quantization, vector classification, codebook expansion and weighted mean square error rule basing mankind visual characteristics, etc. from different angles of information amalgamation, it develops several innovative algorithms of image compression and coding, gives their realization schemes, and makes plentiful simulation tests

    本文在分析了圖像小波變換的原理和子帶系數空間及頻率分佈特點的基礎上，充分利用標量量化、矢量量化、網格編碼量化、網格編碼矢量量化、矢量分類、碼書擴展和基於人眼視覺特性的加權均方誤差準則等思想和方法，從信息融合的不同角度展開了對小波圖像的壓縮編碼研究，同時也討論了這些方法在靜止圖像量化中的具體應用。
  15. In the motion detection a method which is based on time and space is used for it can detect harmful invade object in spite of surroundings inteferre. in addition, after got the image of objects, the rectangle frame technique is used to fill the hole. in my design another part is multi - objects image tracking which is a new technique and it integrates image processing, automatic control and computer science. this technique can automatically acquire objects from image signal, get objects " position information then track them with the aid of dome

    本文中提出了若干有價值的新思想、新方法，完成了以下內容：首先，提出了數字視頻監控的功能結構，描述了數字監控系統的組成、特點和發展現狀；然後研究了適合於跟蹤監控的攝像機坐標系，提出了一種雙角度攝像機坐標以適合本系統的實際應用；討論現場圖像的預處理，其中包括灰度級變換、噪聲濾波和圖像恢復；在運動監測中，比較了幾種常用的運動檢測方法的優缺點，提出了一種基於時域和空間域的圖像檢測方法；另外，在得到運動物體的圖像時，採用矩形框技術填充由於差分圖像造成的孔洞，此方法簡單可靠，有較大的實用性。
  16. First, we analysis the general theoretical model of video segmentation. secondly, based on the model, an automatic detection algorithm of motion - changed regions is proposed from the point of fuzzy entropy clustering. motion - changed regions are detected, using a fuzzy clustering rule to distinguish between the relative noisy and motion - changed regions in time - differenced image

    論文首先討論了時差分視頻分割的一般理論模型，然後在建立的視頻分割模型的基礎上，從模糊熵聚類的角度出發提出了一種視頻運動變化區域自動檢測的方法，通過建立的模糊分類準則在差分圖像中對運動變化區域和相對噪聲區域進行劃分，從而得到運動變化區域。
  17. Since the real - time image and norm image shoot height, orientation and image size are different, the two image ' s outline exist rotation and distortion, and so obtained image ' s edge character is influenced by picture ' s gray distribution, so that the match result is usually not correct

    摘要下視景像匹配製導中，實時圖和基準圖的拍攝高度、方位和圖像比例尺不完全一致，兩圖的輪廓形狀存在旋轉和變形等差異，邊緣特徵提取方法受圖像灰度分佈影響存在變形和移位，易導致匹配錯誤。
  18. Illumination system construction of computer vision system is studied and a double line space crossing illumination system is built, which results in effective settlement of disparity between illumination system and image acquisition in moving object testing problem. data accuracy when using three cameras to capture information is further researched, and three cameras system error module and calibration method are determined

    針對視覺環境中光照系統的構建問題，確定了雙列交叉空間光照視場，有效的解決了動態目標檢測中，光照系統環境與攝像機圖像採集的一致性問題；對三臺攝像機採集信息輸入過程中的數據精確性問題進行了深入的分析，確定了三臺攝像機之間系統誤差分析模型、及標定方法。
  19. 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。
  20. Background subtraction was used for detecting moving vessels in dock video images

    摘要通過背景差法對碼頭視頻圖像中的運動船隻檢測。
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