閾值檢測器 的英文怎麼說

中文拼音 [yùzhíjiǎncèqì]
閾值檢測器 英文
threshold detector
  • 閾 : 名詞1. [書面語] （門坎兒） threshold; doorsill2. （界限; 范圍） threshold
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 檢測器 : detector
  • 檢測 : check; detection; test; gauging; detecting; sensing; [工業] checkout; measuring
  1. We construct weak classifier by a haar feature ; then weak classifiers are combined to a strong classifier in a linear way. the final classifier is built in a cascade structure, which could reject most non - face samples in the early layer. also we use integral image to quickly calculate the feature and reduce the detection time

    本文以簡單的haar特徵結合閾值構造弱分類器，通過adaboost學習選擇和集成弱分類器，最後按照分層結構把集成的分類器組合在一起；同時，在檢測過程中採用積分圖的方法計算特徵，保證了檢測的速度。
  2. 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。
  3. The core of floating threshold value system is the data sampling technology. we will introduce the key chip - tlc5540 and tlc5615 and utilize mcs51 to control the whole system in the article. it examines the original signal from the hgcdte sensor and realizes the control of floating threshold value

    浮動閾值系統的核心是數據採集技術，文中介紹了核心晶元tlc5540和tlc5615 ，利用mcs51單片機控制整個系統，對hgcdte傳感器輸出的原始信號進行檢測，實現了智能浮動閾值控制；同時闡述了性能先進的核心晶元? ? ad603及其應用於agc放大器的特殊性。
  4. 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。
  5. This thesis is concerned with fault detection and isolation problem for dynamic systems such as norm - bounded uncertain systems, state - delayed uncertain systems, linear parameter - varying systems with time delays, time - delay systems with markovian jump parameters and nonlinear systems by using fault detection filter, threshold selection method and linear matrix inequalities

    本論文研究了動態系統的魯棒故障檢測與分離問題，基於故障檢測濾波器和閾值邏輯方法，採用線性矩陣不等式技術，研究了范數有界不確定系統、時滯不確定系統、時滯lpv系統、時滯馬爾可夫跳躍系統、非線性系統的魯棒故障檢測與分離問題。
  6. Abstract : the threshold algorithm of the target detection is often used to detect target echo signals. its performance is based on signals - noise ratio. when signals - noise ratio is great than 6. 7, the target can be detected. in order to increase the signals - noise ratio, matching filter is often used. if the system is narrow band system, the noise is color noise and matching filter cannot be used. therefore, the signals - noise ratio cannot be increased. however, the geometrical characteristic of the laser echo signal is different with the noise. this paper advises the algorithm that detects the target by the geometrical characteristic. when signals - noise ratio is great than 2, this algorithm can detect target. this algorithm has been used in practice

    文摘:目標檢測的閾值法經常用於檢測目標的回波信號.它的性能取決于信噪比，當信噪比大於6 . 7時，能夠檢測出目標.為了提高信噪比，經常採用匹配濾波器.如果系統是窄帶系統，噪聲為色噪聲，無法使用匹配濾波器，不能提高信噪比.激光回波信號的幾何特徵不同於噪聲.提出了一種利用這種幾何特徵檢測目標的演算法.當信噪比大於2時，該演算法能夠檢測出目標.該演算法已經實際應用
  7. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求，基於視頻圖像進行了交通信息處理的演算法研究與實現，主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中，利用先鋒遺傳演算法尋求全局最優閾值，可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用支持向量機理論進行了車輛自動分類的模擬研究，模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法，提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像處理演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖處理相結合的定位方法進行車輛牌照定位的實現方法。
  8. But the standard mc has some shortcomings : firstly, the standard mc picks up isosurfaces by threshold, however, threshold segmentation is invalid for picking up tissues or organs from some medical images ; secondly, the standard mc pocesses cubes one by one, that is to say, all the cubes will be checked, and the algorithm spents 30 % - 70 % of time to check the null units, so we need a reasonable data structure to travel the space data and accelerate the checking or filting of null units ; thirdly, the standard mc has a large scale of triangles, normally, the tissue or organ reconstructed includes hundreds of thousands so much as millions of triangles, this means it hardly to execute real - time rendering or interaction ; lastly, the standard mc can not get the very smoothly surface mesh, and there will be some unexpected accidented cases, especially in the case of big errors in oringinal data

    但是標準mc演算法存在較大的問題:標準mc演算法實質上是通過閾值分割來提取等值面，閾值分割對某些醫學圖像的組織或器官的提取難以得到較好的效果;標準mc演算法是逐個移動立方體來進行處理，就是說對所有的立方體都要進行一次檢測，演算法執行中30 % ~ 70 %的時間用在對空單元的檢測上，因此需要有一種合理的數據結構對空間數據進行有效的遍歷，以加速對空單元的檢測和過濾;標準mc演算法產生了大量的三角面片，一般重建的組織或器官包含數十萬甚至上百萬的三角面片，難以實現實時的繪制和交互操作;標準mc演算法得到的表面網格並不光滑，會有一些不期望的凹凸，特別是在原始數據有較大誤差的情況下尤其突出。
  9. In this paper, after studying the technology of virtual instrument and the characteristics of ld, we developed the ld test system using the design idea of virtual instrument 。 the system is mainly used for test the threshold current, differential efficiency, v - i characteristic and p - i characteristic of ld module

    本課題在對虛擬儀器技術和半導體激光器各項性能參數深入研究的基礎上，採用虛擬儀器的設計思想，研究開發了基於虛擬儀器技術的半導體激光器特性參數檢測系統。該系統主要面向組裝后的激光二極體組件，對其進行電流閾值（ ith ） 、光電特性（ p - i ） 、電抗特性（ v - i ）等主要特性的測試。
  10. To detect and track weak signals, feature extraction is studied on the base of feature anlysis, and a viterbi spectrum line tracker with double thresholds is exploited

    為了加強對弱信號的檢測和跟蹤，在特徵增強的基礎上，研究了特徵提取的方法，開發了雙閾值viterbi線譜跟蹤器。
  11. The synchronization filter filtrates the thin square noise when the color threshold is depressed to obtain a more intact detection

    邊緣檢測時通過降低差分計算的顏色閾值獲取更為完整的檢測結果，同時利用空間濾波器去除由顏色閾值的降低所引發的大量小面積噪聲。
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