image matrix 中文意思是什麼
image matrix
解釋
圖像矩陣-
The projector and beam of light represent the elohim creator beings consciousness, the celluloid and focusing device on the projector represent the template and its synchronization function, the screen represents the magnetic receptacle or matrix which will receive the higher image, and the image ( projection ) is the creation itself
投影機和光束表徵了耶洛因創造者的存在意識，投影機上的賽璐珞和聚焦裝置表徵了生命模板和它的同步功能，銀幕表徵了磁場容器或矩陣能量，矩陣能量可以接受到更高級的圖像，而圖像（投射）就是創造物本身。 -
In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis
本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。 -
Through analyses of epipolarity geometry of the linear ccd push - broom images and frame perspective images, based on the projection track method, epipolarity of linear ccd push - broom image is established and the properties of epipolarity curves is discussed, and a new epipolarity model based on the simplified push - broom sensor model is proposed. for stereo images of frame perspective and linear perspective, how to set up of epipolarity is studied in terms of fundamental matrix in computer vision, and an algorithm of epipolarity solution that only depends on coordinates relation of identical point is presented. 4
通過線陣ccd推掃式影像和框幅式中心投影影像核線理論的對比研究，利用投影軌跡法建立了線陣ccd推掃式影像的核線模型，分析和總結了它的基本特性；針對基於共線方程的簡化傳感器模型，提出了一種新的核線模型；對框幅式中心投影立體影像和線陣ccd推掃式立體影像，利用計算機視覺中的基本矩陣研究核線關系的建立，提出了一種單純依靠同名點坐標關系的核線模型解法； 4 -
Firstly, a natural number chaotic sequence is created with the key. then the image matrix is transformed with this chaotic sequence, using the magic cube transformation. the results indicate that the proposed algorithm can get a satisfying effect
提出了一種在小波域內的基於混沌序列的模運算數字圖像加密解密演算法和基於混沌序列的魔方變換數字圖象加密解密演算法。 -
Second, we do research on asthenia syndrome and sthenia syndrome. we first select sub - images from tongue image along the polygonal edge of the tongue, then based on the analysis of the texture properties of the sub - images, gray level co - matrix is used to extract features. the classification precision with theses features is higher
其次，本文研究了舌質蒼老與舌質嬌嫩的分類，先應用演算法在舌邊自動選取了子圖像作為研究對象，然後應用灰度共生矩陣方法對這些子圖像進行了特徵提取和分類，取得了不錯的結果。 -
This contrasts with the computation of fundamental matrices and trifocal tensors, which use only a subsequence of 2 and 3 views respectively. secondly, in our methods, the essential geometry of the image single axis geometry may be specified by six parameters and this may be estimated from one conic and one fundamental matrix ( a total of 12 parameters ) or may be minimally estimated from two conies ( a total of 10 parameters ). previous methods have involved estimating more than this minimum number of parameters
從本質上講，本文提出的演算法是一個多視角幾何演算法，它充分利用了所獲得的圖象序列，將單軸旋轉運動的幾何信息很好地融入於二次曲線當中，從而創新地提出了利用二次曲線對單軸旋轉運動的不變量進行分析的方法，並首次求解出了單軸旋轉運動中的全部不變量。 -
The balanced multiwavelet was studied. for low - pass matrix filter p ( ), the orthogonal matrix r was selected to ensure the constant signal as a characteristic signal of balanced low - pass matrix filter rtp ( ) r, the corresponding balanced high - pass matrix filter is q ( ) r or rtq ( ) ) r which maintain the orthogonality and symmetry or orthogonality only respectively. as an application, the optfr - multiwavelet constructed by jiang was balanced and applied to image denoising and fusion
研究了多小波的平衡處理，對低通濾波器p （ ）一般選擇平衡器為正交矩陣r ，使得常數信號成為平衡后的低通濾波器r ~ tp （ ） r的特徵信號，若要保持矩陣濾波器的正交性和對稱性，可選擇平衡后的高通濾波器為q （ ） r ；若只保持多小波的正交性，可選擇高通濾波器為r ~ tq （ ） r 。 -
Content - based image retrieval in database using svm and gray primitive co - occurrence matrix
和灰度基元共生矩陣進行圖像數據庫檢索 -
In the second part ( including chapter 4 ), this paper applies gray level coocurrence matrix and image texture feature quantities to evaluate eliminate effect through computing the same sampling region selected. the results show that the three methods can eliminate solar eclipse impact on the satellite vis imagery so that the topography, cloud system texture and ocean current are distinct and differentiable and it is good for analyzing the clouds and weather systems on the cloud image. comparing the three methods, the improved geometry - model method is the most effective
研究結果表明：原幾何模型法、改進的幾何模型法和數學函數模型法基本都能消除日食對雲圖的影響，經過訂正處理后，各種特徵紋理變細，結構變清晰，信息增加，有利於雲圖上雲和天氣系統的識別和分析；三種方法的比較認為，改進的幾何模型法訂正效果最好，原幾何模型法的效果較差，數學函數模型法更加快速、簡便，但其涉及的主觀因素較多。 -
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。 -
On this basis, the four numerical features identifying the content of image are raised from gray - level co - occurrence matrix of the image
在此基礎上，利用圖像的灰度共生矩陣，統計出反應紋理一致性、紋理對比、紋理的熵和紋理相關性的數量值。 -
The primary researching tasks are as follows : mathematical models, which transfer the process of image to operation of matrix, were build to describe tomato images. after experimenting, annular incandescence lamp was chosen as lamp - house
主要研究工作的總結如下： （ 1 ）建立了描述番茄與其圖像相互關系的數學模型，並把對圖像的處理變成對矩陣的各種操作。 -
Firstly, to perform pca or lda on basis of such high - dimensional image vectors is a time - consuming process. secondly, the high dimensionality usually leads to singularity of the within - class covariance matrix, which is a trouble for calculation of fisher optimal discriminant vectors
這樣就從根本上避免了在高維的圖像向量空間內構造散布矩陣並計算特徵向量的困難，大幅度地降低了特徵抽取過程所耗費的計算量。 -
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。 -
Imaging formula and object - image scale formula of laser beam transferred by focus lens are deduced according to the abcd law of matrix optics, and the factors that effect on beam focus properties are analyzed based on these two formulas
根據矩陣光學變換的abcd定律，推導出激光束經過單聚焦鏡變換后的成像公式和物像比例公式，並在此基礎上討論光束質量和聚焦系統特性對光束聚焦性能的影響。 -
Hot shock and cathode electrolysis experimental results indicate the interface adhesion strength between coating and aluminum matrix is excellent. the element electronic probe image provide that the two composition are co - deposition ; structure analysis by xrd ( x - ray diffraction ) demonstrated that cr exists in the way of solid solution in the coating
Sem和金相觀測結果表明浸鎳后鍍層結晶緻密、厚度均一；熱震及陰極電解結果說明鍍層與基體結合牢固緊密；鍍層元素電子探針掃描圖說明鎳鉻兩種元素均勻沉積； xrd分析證明鍍層中鎳鉻以固溶體的形式存在。 -
After analyzing plane measurement detailedly, we know that the precision of measurement is decided by the precision of the homography between the image and the scenic plane. in the following chapter, several algorithms used to solve homography matrix are discussed
在分析了平面測量的基礎上，我們知道測量的精度取決于圖象平面和世界平面之間單應的精度，因此接下來論文花了大量的篇幅來討論單應矩陣的各種演算法。 -
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。 -
After that, a svd of polar seal image matrix method is mentioned to extract vsv features
提出了利用極坐標圖像矩陣進行奇異值分解的方法以提取不變奇異值特徵。 -
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。
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