邊緣映射 的英文怎麼說

中文拼音 [biānyuányìngshè]
邊緣映射 英文
mapping of the boundary
  • 邊 : 邊Ⅰ名詞1 （幾何圖形上夾成角的直線或圍成多邊形的線段） side; section 2 （邊緣） edge; margin; oute...
  • 緣 : Ⅰ名詞1 （緣故） reason 2 （緣分） predestined relationship 3 （邊） edge; fringe; brink Ⅱ動詞（攀...
  • 映 : 動詞1. （因光線照射而顯出物體的形象） reflect; mirror; shine 2. （放映） project a movie
  • 射 : Ⅰ動詞1 （用推力或彈力送出） shoot; fire 2 （液體受到壓力迅速擠出） discharge in a jet 3 （放出） ...
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. In feature extraction step, we apply homogeneity into text detection, and we compare using the gradient, edge extract and homogeneity mapping to enhance corners and texture features, and then use a slip window to get different kinds of texture features as the feature vector, and then after comparing the accuracy result of svm and bp neural network, we choose svm as the classifier

    在特徵提取步驟中，本文把一致性h應用到文本區域提取領域，使用邊緣空間映射和一致性h空間映射兩種方法得到特徵圖像，並比較了兩種空間對于文本提取的影響;對得到特徵圖像，使用滑動窗口比較了提取不同維數的紋理特徵作為特徵向量的結果。
  2. The paper do n ' t attempt to definite new generalized metric space classes and new covers and mappings. this is because in the development of revent several decades in topology, the space classes were definited by all sorts of formal generalizations have reached a flooded extent, continual introduction of new spaces and over tiny division have made topology develop to an empty theorical margin

    本文不試圖去定義新的廣義度量空間類以及新的覆蓋與映射，這是因為近幾十年拓撲學的發展，各種形式的「推廣」所定義的空間類已達到泛濫的程度，新空間的不斷引入，過細的劃分使得拓撲學似乎發展到了空洞的理論邊緣。
  3. In this paper, the concepts, the historical background, the importance and current application of scientific computing and visualization of scientific computing are introduced and the visualization of computational detonation mechanics is specially expounded. based on the sumarization of the visualization software visc2d and visc3d directing at the mmic ( multi _ material in cell ), the key point of the improvement and the research contents are listed. based on the basic visualization reference model and the data file format of mmic, the file format of vector data is defined. the 2 - d data field visualization technology is described in detail. include the visualization of scalar field and vector field. the weak points of the visc2d software is overcome, and we propose the full - frame coloring mapping method and the visualization of the vector data using the clic ( coloring _ noise line integral convolution ). in addition, the method to draw and display shock wave by edge probing operator is introduced. in the design of the program, in order to overcome the shortcoming of visc2d with sdi ( single document interface ), the software vsv ( visualization of scalar and vector ) with mdi ( multi document interface ) is designed. compared with visc2d, the advantage of vsv includes : ( l ) vsv is a mdi applied software which can be used to view various kind of data, ( 2 ) vsv resolves the flash during displaying moving images which are produed by full - frame coloring method used to the visualization of scalar fields, and ( 3 ) vsv can be used to visualize vector field such as velocity. at last, the visualization of the output data from mmic in explosion and shock is realized by vsv

    首先簡要介紹了科學計算與科學計算可視化的概念、歷史背景、意義及應用現狀，重點說明了計算爆炸力學中的可視化問題，在總結多流體網格程序mmic的可視化軟體visc2d和visc3d的基礎上提出了改進要點和本文的研究內容。在介紹可視化基本參考模型和mmic程序的數據文件結構的基礎上，給出了矢量數據文件的結構，詳細闡述了二維數據場的可視化技術，包括標量場和矢量場的可視化，針對原visc2d軟體的不足，給出了改進方法，提出了全幀著色映射方法和用於矢量數據可視化的基於噪聲著色的線積分卷積方法，以及提出了利用邊緣檢測運算元提取和顯示沖擊波的方法。在程序設計上，針對原visc2d軟體只適用於單文檔窗口的缺點，本文利用多文檔mdi窗口，研製了標量場與矢量場的可視化軟體vsv （ visualizationofscalarandvector ） 。
  4. The paper analyzes binary - split gradient & threshold initial codebook generation - algorithms, codebook generation algorithms based on kohonen self - organizing feature map neural network, a fast codeword searching algorithm using l2 - norm pyramid data structure, side - match vector quantization algorithms, and a fuzzy classified vector quantization algorithm, systematicly explores their application to image compression, computer simulation results show that they are practical and efficient

    文中重點分析了二元分裂梯度與閾值初始碼書生成演算法、基於kohonen自組織特徵映射神經網路的碼書生成演算法、基於l2范數金字塔數據結構的快速碼字搜索演算法、邊緣匹配矢量量化演算法、模糊分類矢量量化演算法，系統地研究了它們在圖像壓縮編碼中的應用，並進行了計算機模擬，實驗結果表明這些演算法是實際有效的。
  5. The paper presents a modified fuzzy kohonen neural network clustering algorithm fit for image compression, which is applied to codebook generation, theoretic analysis and computer simulation results shows that it can solve some problems which exist in ordinary kohonen self - organizing feature map neural network algorithms and improve encoding quality. the paper also presents a fast correlation - side match algorithm, which is applied to codeword searching for image vector quantization and has a good result

    本文提出一種適用於圖像壓縮的碼書生成演算法? ?改進的模糊kohonen神經網路分類演算法，通過理論分析和計算機模擬，表明該演算法能夠解決普通的kohonen自組織特徵映射神經網路演算法存在的一些問題，且使編碼質量有所改善。文中還提出了快速相關?邊緣匹配演算法，將其應用於圖像矢量量化中的碼字搜索過程，取得了良好的效果。
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