inverse image 中文意思是什麼
inverse image
解釋
倒像-
Firstly, chromatism analysis and wavelet transform are used for color image compression coding. in this method, one of the three color components of a color image ( for example the g component of a rgb color image ) is coded using wavelet transform, and the chromatism between g and other two color components rg = r - g, bg = b - g is coded respectively using chromatism analysis. during decoding, g ~ is first reconstructed using wavelet inverse transform and inverse quantisation, and rg, bg are reconstructed using chromatism analysis inverse transform ; then r, b are calculated by r = g + rg and b = g + bg respectively
其一是應用色差分析和小波變換對彩色圖象進行壓縮編碼，該方法是對彩色圖象的三個色彩分量之一，如rgb圖象的g進行小波變換編碼，而對g與另兩個色彩分量的差值（即rg = r - g和bg = b - g ）進行色差分析編碼，解碼則是通過反量化和小波逆變換得到g ^ ，通過色差分析的逆變換得到兩個重構的色差rg ^和bg ^ ，再算出r ^ = g ^ + rg ^ 、 b ^ = g ^ + bg ^ ，最後由r ^ 、 g ^ 、 b ^重構圖象。 -
Sequentially, the author discussed the technologies of medical image 3d visualization according to the clinical applications. with the development of computer, 3d visualization and computer graphics, the 3d visualization of medical images has progressed from fourier transform and convolve inverse projection to mpr ( multi - planar reformation, mpr ) and mtp ( maximum intensity projection, mtp ), nowadays, the real 3d reconstruction method, surface and volume rendering has risen. the image registering, image segmentation, pixel data set construction and 3d special interpolation are the key technologies in medical images 3d reconstruction
隨著計算機技術、三維可視化理論和計算機圖形學的發展，醫學圖像的三維可視化技術也從傅立葉變換、卷積反投影等基本圖像處理演算法，發展到真正的三維重建演算法：面繪制和體繪制；醫學圖像的三維可視化技術的應用也從三維醫學成像發展到虛擬內窺鏡，以及今天的虛擬可視化人體研究；而圖像的配準、圖像分割、體數據集的構建、三維空間插值則是醫學圖像三維可視化實現過程中的關鍵技術環節。 -
It is pointed out that the image resolution is in proportion to the size of the ccd chip and in inverse proportion to the recording distance
從理論上分析了產生這些誤差的原因，同時作了計算機模擬與數值分析。 -
This method doesn ' t compute the moore - penrose inverse of image jacobian
這種方法無需計算雅可比矩陣偽逆。 -
Inverse aperture radar ( isar ) can image non - cooperative moving targets such as aircrafts, ships and celestial objects over a long distance under all weather and all day. it is of particular interest for strategic defense, anti - submarine warfare and radar astronomy
逆合成孔徑雷達（ isar ）能夠對飛機、艦艇、天體等非合作運動目標進行全天時、全天候、遠距離成像，在戰略防禦、反衛星、戰術武器以及雷達天文學中都有重要應用價值。 -
By taking advantages of epipolar line features and depth discontinuities in reference 中國科學院 軟件 研究所 博士 學位 論文 基于 圖 象 的 快速 繪制 技術 的 研究 images ， an efficient inverse wmping algorithm is pfoposed in chapter 3 for gcnerating nagcs of novel views by combining multiple eference images 帆 enhm different vie 呷 oints because continuous segnents determi 。 d by pairs ofedge pixels at co 。 spending epipolar lines are order kept ， only pairs of edge pixels in the reference 渝 明 e e necess 叨 口 cowute to obtain generalized disparity of all points in the desired image as a result ， sighficant acceleraion could be made in the endering pfo 比 鴕 two accelerating techiq 此 s e presented in this algori 山 mb accelerate the hole illing process his algorithm extends the reference images rom projection of single col ： ii ’ ected surface in previously developed nvnverse w 出 下 er to ima 驢 s captured rom complex scene in chapter 4 ， an 《 dent ibr method is prese 庇 仙 y takn ull 訕 antage of 呷 bies c 咖 the method can simulate the 3d details on sllri ： ace of object successfully he 。 叩 proach ， called rered ature mopmp consists of two pans at fst ， an origi 。 ltexture with orthogonal displacements per pixel is deco 啊 osed into a series of new t6 刀 mfcs with each 他 lug a given displacement per pixel ， called ae ， ea atures ， or lt hen hese lt e used to render the novel view by conventional texture mapping d avoid gaps n the endered hlla 驢 ， some phels are to be interpolated nd extended in the 廠 kaccoding to the depth differe eee between two neighbor pixels in the original texture as these ltlt fc … e much storage nd therefore much time is equired to install ltlt into the text ’ ufc buffec an 舊 thod is pfoposed to co 呷 fcss the ltlt ， nd the cottcspondingfclldering method is given experimental esults show that the new method is efficient ， especially n rendering those objects with a smaller depth rnge compared withtheir size ， such as relief surfaces of building
與己有的三維變換方法相比較，該方法不但成功地填補了由於投影區域擴張而產生的第一類空洞，而且成功地填補了由於空間深度非連續物體相互遮擋而產生的第二類空洞，從而方便地實現了虛擬環境中的漫遊；基於物體表面深度的連續性，本文提出了一個位移預測方法? ?此方法可以從單幅參考圖象獲得逆映射過程中所需要的目標圖象的位移信息，從而大大提高了演算法的效率：與通常的正向映射演算法相比，此演算法克服了多幅參考圖象所帶來的計算量成倍增長等問題，而且誤差較小。 2 ）基於極線幾何的快速逆映射演算法。利用參考圖象的邊界信息與隱含的遮擋關系，以及極線幾何的性質，本文第三章提出了一個基於極線幾何的快速3 『一中國科學院軟體研究所博士學位論文基於圖象的快速繪制技術的研究逆映射演算法，從多幅參考圖象精確合成當前視點目標圖象。 -
With the review of digital image properties and continued fractions theory, this dissertation focuses on the study of the image interpolation and image reconstruction ; the main contributions are as fallows : first of all, the methods of solving the problem of inverse difference being infinite are successfully found while constructing the thiele - type continued fractions. in this case it is proposed to reorder the set of interpolating points and then construct a thiele - newton blending continued fraction
本文的主要工作可歸納如下：首先，在以圖像像素為插值節點集，構造連分式插值函數過程中出現逆差商為無窮大的情況，給出了合理的解決辦法，提出了重新調整插值節點集的節點順序、構造thiele - newton型混合有理的插值方法。 -
In this paper what is mainly discussed is the hardware implementation of the two application specific information processing modules by cpld or fpga, which are s + p inverse transformation, the inverse transform module of an image compressing system, and 4096 - point complex fft / ifft module, the central module of the digital pulse compressing system
本文討論的就是應用cpld fpga來實現兩個專用信息處理模塊的設計。它們分別是圖象壓縮系統的圖象反變換模塊? s + p逆變換模塊及數字脈沖壓縮系統的核心模塊? 4096點fft變換模塊。 -
This technique avoids computing inverse log - polar mapping ilpm to preserve the quality of the watermarked image, and avoids exhaustive search to save computation time and reduce false detection. experimental results demonstrate that the digital watermarking technique is invariant and robust to rotation, scaling, and translation transformation
在研究中發現，圖像在空域中的旋轉對應于該對數極坐標域中沿著角坐標的位移圖像在空域中的按比例縮放對應于該對數極坐標域中沿著對數半徑坐標的位移而圖像在空域中的水平位移對該對數極坐標域沒有影響。 -
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 -
In many fields, such as remote sensing, nuclear medical, computer tomography, geophysical prospecting, groundwater hydrology, global ocean modeling, image processing, tumor detection, nondestructive detection, the objective of applied sciences and engineering is the recovery of the original signal given a collection of noisy observations of the original signal ; we call these problems inverse problem
在遙感技術、核醫療技術、計算機斷層掃描（ ct ）技術、地質勘探、地下水文學、電磁輻射、圖像恢復和重構、腫瘤檢測、非破壞性檢測等科學研究和工程實踐中，經常需要根據一組觀測到的數據來估計目標的真實信號，而觀測到的數據往往是真實信號經模糊、失真和加噪等過程后所得的輸出信號，通常稱這類問題為逆問題。 -
Furthermore, the fractal properties of the level sets and inverse image of compact sets of n - dimension non - degenerate diffusion processes is also considered by professor yang in [ 2 ], and some new results are obtained in this paper
另外，楊新建教授在文獻[ 2 ]中研究了緊集上非退化擴散過程樣本的水平集和逆像集的一些分形性質，本文在這方面也做了一些工作。 -
Futhermore, we studied that the hausdorff dimension of its inverse image set
進一步，研究了非退化擴散過程的樣本軌道的逆像集的hausdorff維數。 -
The image inverse filtering with polynomial approximation and the image recovery in spatially variant systems
用多項式近似的圖象逆濾波及空間移變系統圖象的恢復 -
In chapter five to reconst ruct the three - dimensional object cubes, various deconvolution algorithms : nearest neighbor, inverse filtering and constrained iterative deconvolution are developed and applied to both computer generated and experimentally measured image cubes. the best results are obtained using an svd inverse fourier deconvolution algorithm with regularization for noise suppression
第五章為了重建三維目標立方，發展了各種去卷積演算法：最近鄰、逆濾波和帶約束的迭代去卷積，並應用到計算機產生和試驗測量的圖像立方中，最好的結果是利用具有規則抑制噪聲的svd逆傅立葉變換去卷積演算法獲得的。 -
After studied for several decades, there have appeared several classical edge operators, such as roberts, sobel, laplacian, canny and log. meanwhile, there also have presented several classical algorithms of image restoration, such as inverse filter, wiener filter and constrained least squares filter
經過多年的研究，已經形成了roberts運算元、 sobel運算元、 laplacian運算元、 canny運算元、 log運算元等經典的邊緣檢測運算元以及逆濾波、維納濾波、約束最小二值濾波等經典的圖像恢復方法。 -
In synthetic aperture radar ( sar ) and inverse sar ( isar ) imaging, most image algorithms are based on the model of standard scattering centers. but the scattering of targets is complexity, the standard scattering centers model cannot describe all scattering centers of target
大部分雷達二維成像演算法都是基於理想散射中心模型的，而真實目標散射的復雜性使之無法滿足理想散射中心模型的假設條件，它包含了許多非理想的散射中心。 -
The hausdorff and packing dimension of inverse image and level sets of n - dimension nondegenerate diffusion processes
維非退化擴散過程樣本逆象集與水平集的分形性質 -
Uniform dimension of inverse image for n - parameter d - dimensional generalized brownian sheet
過程像集的一致維數 -
In this thesis, with the aid of this paper, the author has discussed the hausdorff dimension and packing dimension of the level sets and inverse image of n - dimension non - degenerate diffusion processes
楊新建教授在文獻[ 1 ]中研究了擴散過程樣本的hlder連續性，並將其應用於求擴散過程像集與圖集的hausdorff維數。
分享友人