特性矩陣圖 的英文怎麼說

中文拼音 [tèxìngjǔzhèntú]
特性矩陣圖 英文
l characteristics matrix
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 矩 : 名詞1. （畫直角或正方形、矩形用的曲尺） carpenter's square; square2. （法度; 規則） rules; regulations 3. [物理學] moment
  • 陣 : Ⅰ名詞1 （作戰隊伍的行列或組合方式） battle array [formation]: 布陣 deploy the troops in battle fo...
  • 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...
  • 特性 : characteristic（s）; character; performance; features; properties; behaviour; response; character...
  • 矩陣 : [數學] matrix; array
  1. Among them the gray level co - occurrence matrix ( glcm ) and gray gradient co - occurrence matrix ( ggcm ) methods, which attributed to the statistic textural analysis scheme were then chosen to extract the textural features of five kind areas on satellite images. in the second part the principle of classification and bp neural network were introduced. combined with textural features, the improved bp neural network successfully performed on the classification of the satellite images

    論文的第一部分介紹了進行紋理特徵研究的一些典型的方法，利用其中的基於統計的紋理分析法中的灰度共生矩陣以及灰度一梯度共生矩陣法，分析了衛星雲圖上五類區域的紋理特性；第二部分主要介紹了遙感圖像分類原理以及神經網路中的bp演算法，在對演算法原理進行深入理解的基礎上，把紋理特徵與神經網路進行組合，實現對衛星雲圖進行分類分析；第三部分內容是在前面圖像分類結果的基礎上，對序列圖像用相關匹配法進行運動分析，反演雲跡風風場。
  2. This dissertation deals with the content - based image retrieval ( cbir ) theory and technique ; some new features and tools for more concisely and discriminatingly charactering the content of an image are proposed, such as region - based color histogram, grey - primitive co - occurrence matrix, ratio of centripetal moment, ratio of eccentric moment and ratio of inertial moment. a new modified genetic algorithm is also described in this dissertation, which can upgrade the performance of standard genetic algorithm ( sga ) while used in image segmentation

    本文以圖像數據庫檢索為主線，討論了基於視覺內容的圖像檢索方法，提出包括基於區域顏色直方圖、灰度?基元共生矩陣及向心矩比、偏心矩比、慣性矩比的特徵描述方式；對遺傳演算法存在的早熟、收斂到最優解慢等問題提出了解決方法，並將改進遺傳演算法應用到圖像分割中，編制了相應程序。
  3. The conventional principal component analysis ( pca ) and fisher linear discriminant analysis ( lda ) are based on vectors. that is to say, if we use them to deal with the image recognition problem, the first step is to transform original image matrices into same dimensional vectors, and then rely on these vectors to evaluate the covariance matrix and to determine the projector

    所提出的這兩種方法的共同特點是，在進行圖像特徵抽取時，不需要事先將圖像矩陣轉化為高維的圖像向量，而是直接利用圖像矩陣本身構造圖像散布矩陣，然後基於這些散布矩陣進行主分量分析與線性鑒別分析。
  4. Using the theory of conformal transformation, the planar figures of the workspaces are mapped. on the study of the spherical 3 - dof serial mechanism workspaces, we can give the reachable workspace, the atlases of reachable workspaces, the mobile workspace and the atlases of mobile workspace of the spherical 3 - dof parallel mechanism which given geometric parameters. from these atlases, we can see that the mechanical function is better when 1, 2 was given and 1, 2 tend 90

    再次對球面機構的性能進行研究，利用保角變換理論將球面機構工作空間在平面中表示，在分析串聯球面機構可達工作空間的基礎上，得出給定機構參數的並聯球面機構的可達工作空間和可達工作空間面積性能圖譜，得出對應于不同靈活度的靈巧工作空間和靈巧工作空間面積性能圖譜，結論表明，在給定機構參數_ 1 ， _ 2的情況下， _ 1 ， _ 2越是靠近90 ，其可達工作空間和靈巧工作空間面積越大；利用雅可比矩陣對機構進行奇異位形分析，得出幾種特定機構參數的奇異位形。
  5. First we introduce theory and merits of graphic wavelet transform, then mallat algorithm, multi - scale characteristic, quadratic b - alpine wavelet and the coefficients of this filters, and etc. later we calculate the gradient matrix based on the result of wavelet transform, thin the contour and get spatical information

    先介紹圖像小波分解方法的原理、 mallat快速演算法、多尺度特性、 3階b -樣條小波基函數的選取及其濾波器系數的推導等，然後根據小波變換結果計算梯度矢量矩陣，進行非極大值抑制和雙閾值化，提取目標輪廓。
  6. The experimental system extract the low - level features of images such as hsv histogram, the texture got from coexistence matrix, color correlogram, and according to the characteristic of our image database, design the evaluation function such as the average rank ratio to evaluate and compare the performance of different integration of different features including semantic, and validate the active effect of feedback using experiment results

    該原型系統提取了hsv直方圖、共生矩陣紋理、顏色相關圖等底層特徵，同時根據圖像數據庫的特點，設計了平均位置比值等評價函數對語義特徵與底層特徵的各種結合的檢索性能進行了比較分析，並對反饋效果進行了實驗驗證。
  7. In this thesis, we adopt the technique of statistical training, create a sample database of every kinds of expression face images, construct a matrix of the difference of each sample and average image, and reduce dimension by pca, then decrease the relativity of principle components by ica, and therefore get the character sub - space of face. when detecting a face, we adopt the method of disturbing principle components of model to match special facial image, which is called whole optimization method in this thesis

    論文採用統計訓練的思想，選擇包括各種表情變化的人臉圖像建立樣本庫，取所有樣本與平均圖像的差構造一個矩陣，利用主元分析方法進行降維，然後通過獨立元分析降低主元相關性，建立了人臉的特徵子空間；演算法採取對主元進行擾動優化匹配的方法檢測人臉，本文稱此方法為全局最優的方法。
  8. In this way multiple features are extracted according to the characteristics of structure, frequency domain and matrix speciality. these three features can well describe the characteristics of seal image

    這樣從結構特性，頻域特性和矩陣代數特性三方面出發提取了多特徵，能夠很好並全面的反映印鑒圖像的特性。
  9. Based on the lorentz transformation on especial condition, making use of coordinate transformation and matrix theory, the matrix expression and vector expression of lorentz transformation about two inertial frames that relative speeds orientation is random and isnt follow axes of ordinate are educed. 2figs., 3refs

    從特殊情況下的洛侖茲變換出發，利用坐標變換和矩陣理論，導出了兩個慣性系的相對運動速度取向任意，且不沿任一坐標軸洛侖茲變換的矢量表達式和矩陣表達式.圖2 ，參5
  10. ( 2 ) a series of new methods of feature extraction based on the optimal discriminant analysis are proposed, including the new lda algorithm based on the spectral decomposition of within - class scatter matrix sw which is effective when the number of class is small, an improved algorithm of optimal set of discriminant vectors based on the svd which is effective for face recognition, and the kernel fisher discriminant method ( kfdm ). experimental results on orl show that the kfdm outperforms conventional fisher discriminant methods in face recognition, however the computational load is much higher than those of conventional algorithms

    （ 2 ）提出了基於最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括：基於對類內矩陣s _ w進行譜分解的f - s最優鑒別矢量集方法，該方法在類別數比較小時非常有效；一種改進的基於svd的最優鑒別矢量求解演算法，將該方法用於人臉識別時有較好的性能；非線性最優鑒別矢量集方法，該方法雖然有效，但計算時間較長。
  11. Cellular automata was applied to solve mechanical problem of plane truss, and the feasibility of which was discussed in this article. the characteristic of cell and the way of dividing cell were studied while presenting a program and its frame chart. the work load of the new method was not much because it neednt form a partial differential set or a general finite element robustness matrix. numerical computing results show that the new method has a rapid speed of convergence to nodal displacement and internal force of element, so it probably has a good prospect in solving solid mechanical problems

    嘗試用細胞自動機作平面桁架力學分析，探討了該方法的可行性.給出元胞的劃分方法和特性，列出計算框圖並編制了相應的程序，由於不必形成結構的偏微方程集或有限元的總體剛度矩陣，計算工作量小.算例表明，該方法對結點位移和桿內力的收斂速度均較快，是一種分析固體力學問題有前景的新方法
  12. Terrain slope information can be drawn from polarimetric synthetic aperture radar ( sar ) two - dimensional image, so that three - dimensional image can be generated. it differs from two - pass or repeated trace insar that uses interference phase method to obtain topography height. the p - sar three - dimensional image technology uses the stokes matrix formed by two - dimensional images resolution cells, then applying polarimetric synthesize to stokes matrix can produce polarization signature of the scatter cross - section a - (, x ) for any ( ellipticity ) and ( orientation ) polarization state

    這種方法不同於重復軌道和雙通道insar系統，不是利用干涉法提取高度信息，而是利用極化sar二維圖像各分辨單元的stokes矩陣，通過極化綜合估計每個分辨單元的共極化散射特性和交叉極化散射特性（極化指紋） ，以及共極化散射特性最大值時對應的極化橢圓度x利極化橢圓方向角，求解地形的高度輪廓。
  13. Analysing the texture of wear surface image through fourier frequency spectrum and grey matrix eigenvalue, image texture has respective character because of affection of different wear methanism

    通過傅立葉頻譜和灰度共生矩陣特徵量的提取對圖像進行紋理分析，由於不同磨損機制的作用，圖像紋理具有不同的特性。
  14. It firstly utilizes the characteristic of layout geometric information to partition the global network into some sub networks. after these sub networks are compressed by cholesky factorization, the sub networks edge nodes are combined with other nodes. calculating the final linear equations group, the algorithm can be very effective

    演算法首先利用版圖幾何特徵，按最小割原理將電源地網劃分成子網，利用對稱正定矩陣cholesky分解壓縮子網內點；將子網等效成與網路其它部分連接的結點集的等效網路，最後通過計算壓縮后的網路，獲得線性方程組求解答案。
  15. But, though considerable process has been made in the last ten years, digital watermarking is still in its infancy, and much interesting work remains to be done this thesis addresses some problems in the gray - scale image digital watermarking that are summarized below : 1 ) whereas the basic theory of digital watermarking is still very poor, a digital watermarking mathematic model based on imperceptibility and robustness is presented by analysising the characteristic of digital watermarking ; 2 ) based on the model constructed above, by defining the measures of capacity and robustness of digital watermarking, an objective method for evaluating the digital watermarking is introduced and used to analysis some algorithms ; 3 ) whereas geometric distortion always influences the restoration of watermark, we advocate to enhance the robustness against geometric distortion by restoring the image which has been distorted by geometric transformation, and a method is designed for estimating the parameters of geometric transformation ; 4 ) based on the conclusion discussed above, and combined with the masking effects of hvs, a novel public meaningful gray - scale image digital watermarking is designed by analysising the characteristics of image gray - scale interpolation and haar wavelet transformation. the experimental results show that the method is indeed powerful ; 5 ) whereas many image digital watermarking schemes, which embed watermark by modifying the values of pixels in spatial domain and transformed domain, are confronted with the conflict between the imperceptibility and robustness, we advocated to use some stable digital characteristics of host image as watermark and a algorithm based on hermite matrix is designed

    本文重點對灰度圖象數字水印技術進行研究，主要工作如下： 1 ）鑒于目前數字水印的理論研究比較薄弱的現狀，本文通過分析數字水印的特點，建立了一個數字水印的數學模型，為進一步研究數字水印打下了基礎； 2 ）根據以上建立的模型，通過引入容量和穩健度的概念為數字水印提供了一個客觀評價方法，並對一些數字水印演算法進行了分析； 3 ）為增強數字水印抵抗幾何攻擊的能力，研究了受幾何攻擊的圖象的復原問題，並給出了一個計算圖象幾何變換參數的方法； 4 ）通過分析圖象灰度插值演算法和haar小波變換的特點，結合hvs的掩蔽效應，設計了一個公開的有意義數字水印演算法，實驗結果表明本演算法具有較強的穩健性； 5 ）目前許多水印演算法都是通過在空域或頻域修改象素值的方法嵌入水印的，這種方法面臨著透明性和穩健性的矛盾，為解決這個矛盾，本文提出以圖象的某些穩定的數字特徵為水印的觀點，並結合hermite矩陣的特點設計了相應的水印演算法，實驗結果表明該演算法具有較好的穩健性。
  16. Based on the formers, this dissertation efficiently selects the face features abstracting using ica. with no decline of recognition rate, the feature dimension is reduced, so the course of recognition is accelerated. support vector machine pattern recognition method is based on vc dimension theory, adopting the srm principle and considering training error and the generalization ability, which has shown many special advantages in dealing with small samples, non - linear and pattern recognition in high dimension

    本文採用基於矩陣s的人臉表示方法，將ica特徵選擇的概念和演算法用於人臉特徵的提取和優化，在不影響識別率的情況下，降低了特徵維數，提高了識別速度；支持向量機（ svm ）模式識別方法基於vc維理論，採用結構風險化原理，兼顧訓練誤差和泛化能力，在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢；對于多類問題，介紹並採用了「一對一」的策略進行svm分類器設計；對于圖像預處理，詳細介紹了幾何歸一化的演算法步驟。
  17. In spatial domain, according to the characteristics of hvs ( human visual system ), we introduce several approachs based on images " deviation, images " flatness measurement, fuzzy classification, and an approach based on difference matrix as well

    在空間域內，利用人的視覺特性，我們提出了基於圖象方差、圖象平坦測度、模糊分類的隱藏演算法，同時提出了基於差值矩陣的信息隱藏。
  18. According to the feature of the human vision, we present the hiding methods based on image variance, image flatness measurement and fuzzy classification, respectively. and the techniques based on relationship between pixels, difference matrix and cryptography are also given. two hiding methods, backup hiding and camouflage hiding, are proposed too

    在空間域內，利用人的視覺特性，本文提出了基於圖象方差、圖象平坦測度和基於模糊分類的隱藏演算法，同時提出了基於關系、基於差值矩陣和基於密碼演算法的隱藏方法，並提出了備份隱藏和偽裝隱藏兩種隱藏方案。
  19. Based on the svs characteristic analysis of image matrix, a visually recognizable binary image watermark is embedded into maximal singular value coefficient in block - based svd transform domain of the cover image. here we brought forward two primary schemes : one need original signal and the other is blind ( without the original cover ). experimental results show that our schemes can extract reliable copy of the hidden watermark from images that have been significantly degraded or altered through several common geometric distortions and signal processing operations

    本文基於圖像矩陣的svd奇異值分解特性分析，提出了在新的svd變換域中進行的數字水印演算法，水印信息嵌入到分塊變換的最大奇異值分量系數中，應用混沌變換加密和空域置換，改善了空域性能，安全性高；利用圖像分塊矩陣的奇異值分解穩定性好的特點，採用圖像內容自適應方法計算水印的嵌入強度，增強了演算法的穩健性；採用二值圖像作為有意義水印進行嵌入和檢測，水印在感知上是可視的。
  20. In early detection of breast cancer, digital ma mmography is considered to be the most reliable method, the presence of microcalcification clusters ( mccs ) is an important sign for the early detection. in this thesis, we first try to extract some useful features of mccs recommended by experts, and then perform classification directly by cs - matmhks, consequently, more information can be saved and the rate between fp and fn can be controlled and traded - off

    在乳腺癌早期診斷中，乳腺x片被認為是最有效的技術之一，乳腺癌在x線圖像下的主要表現是腫塊和微鈣化點，本文主要是針對微鈣化簇，首先提取一系列醫學專家認為對分類有用的特徵，然後直接用cs - matmhks分類器進行診斷，從而保留了較多的判別信息，同時當提取的特徵很多即輸入模式維數很大時，用矩陣化演算法又降低了發生過擬合（ overfitting ）的可能性。
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