multiresolution 中文意思是什麼

multiresolution 解釋
多解析度
  1. Multiresolution wavelet is widely used in antinoise application because of the correlation of different layer wavelet coefficients. this paper presents a method called " shifting different layer coefficients " to suppress noise and pick - up the edge

    多尺度小波系數由於其相關性而在去噪中得到應用，本文提出利用多尺度小波系數的移位相關的性質來最大限度的抑制噪聲，提取邊緣。
  2. Research of nonlinear image noise removal based on haar wavelet multiresolution analysis

    小波多分辨分析非線性圖像消噪的研究
  3. The martingale analysis in the multiresolution analysis under the haar scaling function and its application in the signal processing

    尺度函數下多分辨分析的鞅性及其在信號處理中的應用
  4. Construction of lp multiresolution analysis on invariant set

    空間的多尺度分析的構造
  5. Modeling : this thesis develops a method different from traditional techniques that begins with the cylindrical projection of a generic model and its seamless global texture map using multiresolution technique, and then automatically fit the unwrapped cylindrical projected mesh to the texture map with an improved algorithm that based on 2d morphing to specify corresponding feature points ( or lines ). finally, we propose a formula of inverse cylindrical projection to recompose the deformed mesh, and after the texture mapping a photo - realistic individual facial model is created

    採用多解析度技術構造紋理無縫拼接圖，然後把三維網格模型投影到圓柱面上並展開，根據二維圖象變形技術中特徵點匹配演算法的數學思想，將匹配公式進行改進后應用於模型網格點的適配，在作了一定假設后推導出逆向圓柱映射的計算公式，再將適配后的柱面網格映射回去，最後進行紋理映射生成真實感的特定人臉的三維模型。
  6. Wavelet analysis and neural network have been researched. based on bp neural network, analysing the features of the bp neural network ' s activation function and the structure of the bp neural network, wavelets neural network is constructed with wavelet function. fourier transform has a important role on signal processing, so the fourier transform is introduced. a function ' fourier transform is analysed. after introducing the concept of the wavelet analysis, a serval wavelet functions is given out, so the knowledge of wavelet analysis is better understood. the multiresolution analysis has a important role on constructing wavelet function and understanding the wavelet transform

    小波分析和神經網路得到了廣泛的研究，小波神經網路是在bp神經網路的基礎上，考慮和分析了bp神經網路的激勵函數的特點，以及bp神經網路的結構，結合了小波分析的知識而構造的。傅里葉變換在信號的處理起重要的作用，所以介紹了傅里葉變換、離散傅里葉變換和加窗傅里葉變換，並對一函數作離散傅里葉變換分析。
  7. 21 pajarola r, sainz m, lario r. extreme splatting : external memory multiresolution point visualization. department of computer science, university of california irvine, 2004, uci - ics - 04 - 14. 22 airey j m, rohlf j h, brooks f p jr. towards image realism with interactive update rates in complex virtual building environments

    二是考察各個層次結點的幾何誤差情況，並為每種幾何誤差記錄序列中最先滿足該誤差要求的層次片段，以便成象時能很快剔除太粗糙的點數據，這對于模型的近距離成象是非常有用的。
  8. Image segmentation ; textured image ; gaussian mixture models ; multiresolution wavelet ; em algorithms

    圖像分割紋理圖像高斯混合模型多解析度小波em演算法
  9. In order to better detect the image edge information, firstly, non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  10. In order to better detect the image edge information, firstly, non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  11. A multiresolution model for explore array maps and its application

    勘探部署圖的多解析度模型及其實現
  12. 2. wavelet transform and conventional high - pass filtering method have been combined. using multiresolution analysis of wavelet transform, details of the result image after being removed cloud cover are greatly improved

    將傳統高通濾波和同態濾波的思想與小波變換相結合，充分利用小波變換的多解析度分析，更好的保持了圖像的細節信息。
  13. According to the problem exsiting in detecting the thickness of the coal seam, put forward the signal processing method for wavelet multiresolution analysis applying to analyzing the actual detecting signal

    摘要根據聲波反射法探測頂煤厚度中存在的問題，提出了將小波多尺度分析應用到實際煤厚探測信號分析中的信號處理方法。
  14. In chapter 3, for the case that the terrain data can not fit in memory, we describe a data layout technique of providing coherent access to the terrain data that are consistent with our mesh simplification. we reorder the data in a manner that is of multiresolution and the overhead is completely eliminated

    第三章中，為了能處理超出內存容量的地形數據，我們對海量地形數據進行了重新組織，設計了一種基於層次二叉樹的遍歷方式的頂點存儲方式，存儲的頂點數據是多解析度組織的，並且沒有冗餘。
  15. This thesis focuses on the construction of biorthonormal multiresolution analyses ( mras ) with finite length filters, image compression and image watermarking based on wavelet transform

    本論文主要研究濾波長度有限的雙正交多尺度分析的構造和基於小波變換的圖象壓縮、圖象隱形水印技術。
  16. Feature extraction on frequency - domain of ships radiated - noise based on multiresolution analysis

    基於多解析度分析的艦船輻射噪聲頻域特徵提取
  17. To improve the performance of the traditional icp method for the large data models of mesh watermarking, this thesis develops a new icp variant based on the framework of mesh multiresolution analysis. the author presents a novel method for acquiring the initial approximate transformation in terms of the distribution feature of points around the centroid

    為避免迭代落入局部而非全局最優解，本方法利用網格的多解析度表示特性和網格上點到質心距離分佈的特徵信息，快速有效地確定初始矩陣。
  18. Two kinds of digital video watermarking schemes with hierarchical multiresolution spatio - temporal algorithm, non - blind and blind watermarking algorithm, based on video scene shots are presented in this paper. they are both based on digital video scene segmentation and 3d wavelet transform

    本文提出了兩種基於視頻流的場景分割和視頻序列的三維小波變換的空時多分辨數字水印演算法，即非盲水印演算法和盲水印演算法。
  19. In the portion of research on wavelet analysis based methods for multiresolution representation, simplification and rendering of terrain models, a three step approach to the choice of appropriate wavelet transform and the best wavelets according to application requirements is propsed : the first step chooses the type of wavelet transform, the second step determines candidate wavelets by picking out satisfying wavelet characteristics, and the last step selects the best wavelets from the candidates through wavelet parameterization

    在對基於小波分析的地形多解析度表示、簡化和繪制演算法的研究中，提出了一種根據應用需求分三步選擇合適的小波變換和最佳小波的方法：第一步是選擇小波變換的方式，第二步是通過明確合適的小波性質來確定候選小波的范圍，第三步是在候選范圍內通過小波參數化來遴選最合適的小波。
  20. This paper presented m - band wavelet - based watershed image segmentation method for medical digital image. the method was based on a multiresolution application of a m - band wavelet and watershed transformation, followed by a wavelet coefficient based energy computation and region merging procedure. the results showed that the method was useful for the reduction of over - segmentation and can be applied to the segmentation of digital images

    本文針對醫學數字圖像數據量大和噪聲情況復雜的特點，結合多尺度分析理論，通過多小波圖像分解、能量計算、分水嶺變換和區域融合等步驟，克服了分水嶺變換嚴重的過分割問題，實現了有意義的區域分割。
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