灰度圖像系統 的英文怎麼說

中文拼音 [huīdùtúxiàngxìtǒng]
灰度圖像系統 英文
grey level vision system
  • 灰 : Ⅰ名詞1 （物質燃燒后剩下的粉末狀的東西） ash 2 （塵土; 某些粉末狀的東西） dust 3 （特指石灰） lime...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 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...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. The simulation result has indicated that using the method of two - value filter can solve the question perfectly, and the question is the edge discontinuity of traditional image classify base on region ; the image fusion which make use of edge gradually change is sententious and efficient ; the color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system

    模擬結果表明，利用二值濾波處理較好地解決了傳統的基於區域的圖象分類中的邊緣不連續的問題；利用邊緣漸變方式實現的圖像融合簡潔有效；由灰度統計直方圖均衡所實現的彩色增強處理降低了虛擬照相系統對環境照度的要求。
  2. According to the need of business card ocr system, this paper presents a new skew detection and correction method based on black border of gray business card image

    摘要本文針對名片ocr系統的要求，提出了一種新的根據圖像掃描時產生的黑色邊緣來檢測灰度名片圖像傾斜角度的方法。
  3. The paper abstracts out the palmprint mainline characteristic owing to palmprint image gradation by the gray value characteristic property method, defining the online palmprint characteristic space with the form of the polar coordinate and compressing the dimension, at last we use the neural network to accomplish the design of identification authentication system with the on - line palmprint as the mating algorithm. based on this, a fast and reliable system of identification authentication can be built

    採用基於掌紋圖像灰度特性的方法提取出掌紋的主線特徵，以極坐標的形式定義在線掌紋的特徵空間並降維處理，最後用神經網路作為匹配演算法完成在線掌紋身份驗證系統的設計，以此為基礎建立了快速、可靠的新型身份認證系統。
  4. The importan charateristics of wat902h camera and pci 500 camera and methods of capturing video are also included in this paper. imaging computer outside submarine can transfer data between control computer in the submarine by w2k ' s tednal service with highspeed. due to specific charaeristics of undersea optical imaging, underwater imaging processing technique fall into two categoriesfhardware and software, hardware are the design of the lenses used in waer and the choice of high - quality ccd caxner4the other is compllter digital irnage processing, that is mainly gray - level boformation and image sharpening. underwater image - processing software is designed on the basis of image processing on windows avi digital video file

    由於水下光學成像的特殊性，水下圖象處理技術應該包括硬體和軟體兩個方面，硬體即水下專用成像鏡頭的設計與高性能的ccd選擇，後期圖象處理軟體是利用計算機數字圖像處理技術提高水下拍攝圖象的質量，處理方法主要有灰度變換和銳化處理；實現了對windowsavi數字視頻文件文件的圖像處理技術，並在此基礎上完成了水下電視系統圖像處理軟體的設計。
  5. The article illuminates mainly two segments color - separation model based on three dimensions, gives a model conception on a knowledge base of unification technology and analyse and design digital prepress system from the whole on the problem of systemic requirement analysis. second, the article brings forward new data compress method based on memory stream and sets up new data structure to realize undo and redo methods based on analyzing all kinds of datas referred to on systemic based construction. because printing and dyeing cad system deals with many arithmetics on graphics ans image and production technics, the article illuminates vector conception, expatiates gray graphic vectorization and brings forward to graphic component ' s conception to enhangce the systemic stability and manipulating speed and improve graphic transmission

    在印染cad系統的需求分析問題中，結合目前印染行業的發展和實際cad系統的整體構架，著重闡述了基於三維空間的二段法分色模型，提出了一體化工藝知識庫這個模型的概念，對數字印前系統做了整體的分析、設計在系統的底層架構問題上，著重分析了cad系統涉及到的各類數據，提出一種新型的基於內存流的數據壓縮方法，同時設計了自己的數據結構，用以實現系統的undo 、 redo操作，由於整個系統涉及眾多的圖形圖像演算法和實際工藝，為了提高系統的穩定性和操作速度，以及增強圖像的網路傳輸功能，在部分演算法中採用了矢量的概念，著重講解了灰度圖像矢量化，並且提出了圖像組件這一嶄新的概念。
  6. Measuring method and technique that 3d surface shape is recovered from 2d gray image ( shape from shading ) can obtain surface shape by natural way and easily realize the information integration of intersystem. particularly, this technique belongs to non - contact measurement, and it has become a puzzle and hotspot question in image measuring domain based on vision in recent years

    直接由物體的二維灰度圖像恢復其三維幾何形狀（由明暗恢復形狀）的曲面測量方法和技術，能以自然方式提取物體表面的形狀信息，且易於實現系統間的信息集成，尤其是該方法屬于非接觸測量方法，特別適合於測量由彈性模量低的易變形材料製成的零件，近年來一直是基於視覺的圖像測量領域研究的難點和熱點問題。
  7. The algorithm, basing on convolution filtering technique and the fringes " gray values max - min distribution, can automatically and accurately carry out space frequency spectra shifting without spectra analysis and spectrogram in the technique of phase method of projected grating for 3 - d object shapes measurement. the new algorithm makes image processing much caster and the technique of object shapes measurement more automated. the phase error caused by filtering and the crossed - optical - axes geometry setup is also discussed

    本文採用投影光棚相位法和數字卷積濾波技術：根據柵線的條紋灰度值分佈具有極大極小分佈的特性，提出卷積濾波形貌光學自動檢測的圖像處理方法，有效地實現了頻譜自動移位，從而進一步提高了圖像處理的速度和形貌測量技術的自動化程度；同時對採用兩光學主軸相交，且非遠心投影系統所產生的誤差進行了分析，並提出了修正方法。
  8. This dissertation discusses image segmentation technology based on the image visual features, the image neighborhood moment analysis and the related image detection and segmentation system. and the key functional modules ’ analyzed are as follows : the image neighborhood moment ’ s analysis, the adaptive clustering after the visual moment transformation, the boundary detection of the object image and the extraction of the object image area of similar visual brightness

    本文討論了圖像視覺特徵鄰域矩分析和基於視覺特徵矩的檢測分割技術，並分析系統中的關鍵模塊:圖像鄰域分析，視覺特徵矩變換后的自適應聚類，目標圖像的邊緣檢測，視同灰度區域的視同灰度提取。
  9. The research about the non - invasive inspection of pcb that is based on ir image is introduced. the detection principle, the components of hardware and software are introduced in this paper. some key technical problems and the project of software are presented in detail : graphics of user interface ( gui ) of the projection, gray scale transformation ( gst ), image contour extraction through edge detection algorithm based on the approaching contour optimization, image registration based on corner detection, the position of hidden trouble pcb through add - minus algorithm image

    本文介紹了利用紅外圖像對印製電路板進行不接觸式故障檢測的系統研究，主要介紹了本系統的檢測原理，硬體組成及軟體的製作，其中詳細地介紹了軟體的製作過程以及其中的幾個關鍵部分：本系統的人機交互界面；圖像的灰度轉換；基於最優輪廓逼近的邊緣提取演算法進行輪廓提取；基於角點檢測的圖像配準；用差影法得到故障電路板的故障隱患或故障部位。
  10. In the thesis, the knowledge and principle on magnetic particle testing, digital image and image restoration are introduced first. according to demand of the system, the wiener filter restoration based on parameter identification is proposed and analyzed by the matlab experiment, the specification of evaluating effect of image restoration is presented according to out - of - focus radius as well. programming by visual c + + 6. 0, jpeg image files are decoded and converted into bmp files, colorful image is converted into gray image and out - of - focus micro - crack image is restored

    本文首先介紹了磁粉探傷、數字圖像及圖像復原的相關知識和基本原理；根據自動磁粉探傷系統應用的要求，給出了一種基於參數辨識wiener濾波圖像復原方法，並進行matlab實驗分析，提出一種基於散焦半徑的復原效果的評判標準；採用vc + + 6 . 0編程，實現jpeg解碼並轉換成bmp文件格式，然後變換為灰度圖像，再對散焦微裂紋圖像進行復原處理。
  11. Algorithms of video segmentation that are good adaptive character and real time are crucial to the final mpeg 4 coding products there exist the contributions in this dissertation as follows obtaining the edge of video objects is crucial to the video segmentation, author researches the features of human being visual, especially giving a description of mach band that is usually used in the image processing, and builds a model of mathematics, researching the mach band of color image

    （ 1 ）視頻分割的關鍵是獲得視頻對象的邊界，邊緣檢測很重要，本論文以人類的視覺系統的特性為出發點，對圖像處理中經常應用的馬赫帶現象進行了詳盡的分析並進行了數學建模，研究分析了彩色圖像的馬赫帶現象。在對馬赫帶圖像分析的基礎上，得出了人類視覺系統對圖像邊緣能識別的最小灰度差和彩色差曲線。
  12. In order to meet the needs of this application, we propose several approaches to compute reliable dense depth maps, such as a feature - constrained stereo matching algorithm, a stereo matching algorithm based on gray segments and a stereo matching algorithm based on fuzzy identification, we demonstrate these techniques on synthetic and real image pairs, indicating that these approaches are feasible

    圖像深度提取一直是計算機視覺領域的中心研究問題，為了得到圖像繪制系統必需的比較精確的高密度深度圖像，我們相繼提出了基於特徵約束的立體匹配演算法、基於灰度段的立體匹配演算法和基於模糊判別的立體匹配演算法，通過實驗驗證上述三種演算法均獲得了良好的效果。
  13. In the software design part, the image encoding is realized with huffman encoding on the bubbling up sorting method for 256 gray - color values. the result of the encoding and encoding efficiency are displayed in the list box. in the hardware design part, on the basis of the characteristic and development of the embedded system hardware, the code joint is realized with the fpga and vhdl

    在紅外虛擬鍵盤的軟體實現部分，採用哈夫曼（ huffman ）編碼的方法實現了圖像編碼，利用冒泡法對256個灰度值進行排序，最後將編碼結果以及編碼效率等以列表框的形式顯示；在硬體設計部分，基於目前嵌入式系統硬體的特點及發展，採用可在線修改的現場可編程門陣列fpga （ fieldprogrammablegatesarray ）技術以及高速集成電路硬體描述語言vhdl （ veryhighspeedintegratedcircuitshardwaredescriptionlanguage ）等方法實現圖像處理中的碼字拼接功能。
  14. The system is on the basis of fourier optics. by using knife edge as object, cmos sensor as device for image reception, we get edge spread function from the image histogram and use differential operation and fft to achieve mtf of the lens, then its image quality is obtained

    本系統以傅立葉光學為依據，以刀口為目標物，以cmos為圖像接收器件，採用獨特的演算法，從刀口圖像的灰度直方圖中獲得其刀口邊緣函數，經微分和fft運算，得到待測鏡頭的mtf ，從而得知其成像品質。
  15. In this algorithm, the system makes geometry and grey standardize on the images located, then extracts the features base on the kl transformation, at last matches them with the feature samples in sample library and output the most suitable image. the recognition rate is about 78 % he mingzhong ( application of computer science ) directed by prof. wang lingquang

    在人臉的自動識別演算法中，本系統對定位后的人臉圖像做了幾何標準化和灰度標準化操作，採用kl變換進行降維處理，提取出人臉圖像矢量，與樣本庫中的特徵樣本進行匹配，選取最為匹配的人臉圖像作為輸出。
  16. According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods

    針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。
  17. Furthermore, good compression effectivity is presented in application to compression of pd gray intensity images. according to the research on difference degree between computational values of fractal features extracted from decoded pd images and that from original images, it is shown elementarily that the proposed method is effective for application in pd pattern auto - recognition system. ( 4 ) this paper brings forward pd pattern auto - recognition project based on the above recognition features and fractal compression of pd gray intensity images and designs the classifier with back - propagation neural network ( bpnn )

    （ 3 ）研究了局部放電灰度圖像的四叉樹分形圖像壓縮方法，通過模擬實驗證明採用本文演算法能夠獲得一定的圖像壓縮比，在局部放電灰度圖像壓縮應用中顯示了良好的壓縮效果，進一步研究了局部放電解碼圖像的識別結果與原始圖像之結果的差異程度，研究結果初步表明該方法應用於局部放電模式自動識別系統中是有效的； （ 4 ）研究了基於局部放電解碼圖像的bpnn識別方法及，通過分析對解碼圖像的識別效果，驗證了設計的系統模式識別方案的有效性，同時表明該方案能夠滿足實地局部放電模式自動識別和遠程數據通訊及自動識別的需要。
  18. The necessity and possibility to estimate and compensate camera rotation in the long focus imaging system is proposed according to characteristics of airborne imaging system. and choosing some points that have great gray levels as image characteristic to estimate motion is also given

    針對機載成像的特點，提出了長焦距攝像系統檢測和補償旋轉運動的必要與可能性以及利用選擇特徵圖像中的最大灰度值點，作為圖像特徵來估計圖像序列幀間運動的方法。
  19. 24 sonka m, hlavac v, boyle r. image processing, analysis and machine vision. chapman hall, 1993, pp. 442 - 448

    本文方法揭示了如何自動地從灰度圖中獲取知識，並應用到圖像分析系統中去。
  20. The lpr system processes the natural image with stochastic disturbance. the paper presents a pretreatment method able to solve the problem that the image contrast degree is too lower to our eyes because of unconstrained illumination conditions. single character image segment means that the whole license plate image will be divided into several little parts and then followed by character recognition

    系統面對的是從實際場景中切割出來的車牌圖像，伴隨著很多的隨機性干擾，本文提出的針對車牌圖像的預處理過程對灰度圖像可以達到較好的處理效果，而且在一定程度上解決了由於外界光照而造成的車牌圖像對比度低的問題。
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