匹配噪點 的英文怎麼說

中文拼音 [pīpèizàodiǎn]
匹配噪點 英文
match grain
  • 匹 : Ⅰ動詞（比得上; 相當; 相配） be equal to; be a match for Ⅱ形容詞（單獨） lone Ⅲ量詞1. （用於馬、騾等） 2. （用於整卷的綢或布）
  • 配 : Ⅰ動詞1 （兩性結合） join in marriage 2 （使動物交配） mate （animals） 3 （按適當的標準或比例加以...
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 匹配 : 1. [書面語] （婚姻配合） mate; marry 2. [電學] matching
  1. It is very important for minutia extraction in afit ( automatic fingerprint identification technology ) based on minutia matching. the fingerprint image always has much noise and can not be adapted to extract minutia directly, so pre - processing of fingerprint image to get a point - line image is an important part of afit domain

    細節特徵點的準確提取在基於細節特徵點匹配的自動指紋識別技術中十分重要，然而由於各種噪聲的影響，使得所採集的指紋圖像質量比較差，並不適合直接用來提取細節特徵點，所以對指紋圖像進行預處理以獲得清晰的點線圖是自動指紋識別研究領域的一個重要組成部分。
  2. But they are very sensitive to image noise and points delocalization error. in order to use the invariants, the local geometric constr aint must be added

    但同時，由於興趣點的局部灰度差分不變量對噪聲及點位置偏差很敏感，所以在做實際圖像匹配時必須加上局部幾何限制。
  3. The digital information is easy to process by pc. this paper introduces the stereo matching techniques in msv system, including image pre - processing, feature abstraction, stereo matching and depth information acquiring. in order to obtain images easy to detect objects " edges, images have to processed by the techniques such as guass smoothing and image enhancement

    針對顯微圖像的特點，對圖像進行了高斯平滑和圖像增強處理，有效的抑制了隨機噪聲對圖像處理的影響，提高了物體與背景的對比度，有效的實現了物體與背景的分離，為邊緣檢測特徵提取，立體匹配提供良好的圖像信息。
  4. This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored

    二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。
  5. 2, the optimal designed digital matched spatial filter ( dmsf ) was used to perform real - time optical correlation, which not only has the merit of large storage and renewability as well as common digital filter, but also has the virtue of high correlation s / n which the holographic optical filer owns

    2 、優化設計的數字空間匹配濾波器，既有數字濾波器的大存儲容量並可實時刷新的特點，又有全息光學濾波器高相關s n的優點。對于處于嚴重背景噪聲干擾下的多個畸變目標，也可獲得高相關s n 。
  6. This matching algorithm can reduce differences during translation, rotation, and zooming under the noisy or distorted condition. to do this, firstly, select optimum matching - origin - pair in the polar coordinates, then the number of matching pairs can be acquired

    本演算法能夠減小指紋平移、旋轉誤差，在有噪聲和形變情況下，先優選出極坐標原點對，進而求出匹配對的數目。
  7. Comparing with conventional nyquist converters, - converters greatly release the requirements for high performance of analog circuit and precisely matched components. additionally, these converters exploit the enhanced speed, circuit density and low cost of modern vlsi technologies. currentlly, - adcs have been widely used for audio a / d conversion

    - adc採用過采樣噪聲整形技術實現高精度模數轉換，和傳統的nyquist率模數轉換器相比，避免了對模擬電路性能指標和元器件匹配精度的較高要求，並可充分利用現代vlsi的高速、高集成度、低成本的優點，已成為音頻模數轉換的主要技術。
  8. This method could be used for reference by other fp technology, and also by other biometric, image and pattern recognition and classification, etc. the main conclusion, the shortage and the prospect of the research of this thesis are given finally. structure - based fp recognition method not only makes best use of texture structure information contained in the gray level fp image but also reflect the local information

    基於結構的指紋識別演算法充分利用了蘊含在指紋灰度圖像中的豐富的紋理結構信息，又能反映局部信息（細節點） ，因而彌補了傳統方法在小面積指紋的識別上的不足；基於anfis的匹配演算法和指紋的補償識別演算法，對于指紋圖像中的噪聲和變形有著很好的魯棒性，達到了令人滿意的識別準確率。
  9. A llmmse filter is designed to reduce noise based on the noise model to improve snr of images. making use of the shape and lightness characters of feature points to detect the feature p oints from images. because the accuracy of feature imaging point ' s centroid has close relationship with measuring accuracy, an algorithm based on iteration of the center of the track window is used to improve the measurement accuracy

    圍繞著提高測量精度的要求，分析了影響ccd圖像質量的三類隨機噪聲，建立局部統計特性為高斯分佈的簡化圖像噪聲模型，利用線性最小均方誤差濾波器對圖像進行預處理，而後根據特徵點的亮度和形狀特徵對特徵像點進行檢測，進一步在特徵像點的匹配中採用自適應的質心迭代演算法提高跟蹤精度。
  10. Detection. then, we compared the traditional second - order correlation technique and the high - order correlation technique, analyzed the characteristics of each them. wavelet transform is the focus of this paper. we analyzed and discuss several aspects i. e multiscale analysis, wavelet threshold denoising and wavelet energy accumulation method. with above method, we simulate in matlab, got many valuable data and conclusions. at the end of this paper, we discuss about the realizition of the echo processing system in brief

    然後在匹配濾波理論基礎上對二階互相關處理，高階統計檢測理論進行了研究，特別對三階相關做了結合實際的具體分析。小波方法是本文的重點，其中對小波多解析度分析方法，濾波去噪演算法和小波能量累積演算法幾方面進行了詳細的分析和研究。
  11. Simulations show that this method can quickly and accurately recognize the object in input image and has a few strong robustness against noise in the input image. secondly, the simulations for two kinds of control algorithms based on pd, namely, direct pd control and pd control with feedforward compensation, have been completed in this thesis. simulations show that both control algorithms have good control performance in tracking a known trajectory and the effect of dynamic compensation of pd control with feedforward compensation is obvious

    本文首先根據二值圖像的特點結合距離變換提出了一種基於ga模式匹配的復雜背景下目標的識別方法，該方法能快速準確的匹配圖像中的目標，而且對噪聲有較強的魯棒性；接著對基於pd的2種機器人控制演算法（直接pd控制和pd加前饋補償控制）進行了模擬研究，實驗結果表明這兩種pd控制演算法都具有較好的軌跡跟蹤性能，而且pd加前饋控制的動態補償效果也很明顯。
  12. By using the lpc coefficients of noise to predict all the speech signal, the method gets the lpc prediction error lpcpe sequence. then use it to substitute the speech sequence to detect the speech terminal extract the speech features and to recognize in a suitable way

    該方法利用噪聲的lpc系數去預測語音信號，從而得到lpc預測序列，然後把它代替原語音序列來進行語音端點的檢測語音特徵的提取和在合適的匹配方式下的識別。
  13. Point matching problem can be quite difficult because of three major factors : the existence of noise, outlier and complicated non - rigid mapping

    點匹配問題由於噪聲，出格點利復雜的非剛性映射等因素而變得不容易解決。
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