閾照度 的英文怎麼說
中文拼音 [yùzhàodù]
閾照度
英文
flux density threshold-
A lot of data of elevation in different places of the shallow water of n antong were obtained by fish - exploring machine and gps determining and tide cor recting. an image which reflects landforms of nantong was obtained by selecting f rom the many noaa images on different channels and in different phases. based on the image, grey scales corresponding to different places were obtained. by using c la ssifying liner regression technique, liner regression equations were established between the elevation and grey scale, and the threshold values of grey scales of the different elevations were determined. according to the threshold values, the a reas of the tidal zone above different elevations of the shallow water of nanton g were estimated
通過利用gps及漁探器實測，並進行潮位訂正，獲得南通淺海海域大量測點的高程資料；通過對多時相各通道noaa衛星照片進行篩選，挑選能反映淺海地貌的通道資料，從中讀取各測點相對應的灰度值，在此基礎上利用分級線性回歸，建立不同高程范圍內的高程、灰度線性回歸方程，確定不同高程的灰度閾值，從而測量出南通市淺海海域不同高程以上的潮間帶面積、分佈。If we could make use of the technology of computer seeing and realize automatic recognition of identifying id card numbers, we should greatly improve the efficiency of id card administration. presently, most recognition systems of id card numbers are based on scanner, but this systems cannot meet the demand of long and real time catching image. this text lucubrates theoretic about image manipulation and pattern recognition and sets up a integrated regnition system of identifying id card numbers. on ccd vedic. concretery consist : ( 1 ) firstly investigating the segmentation about image of illumination asymmetry. due to a dotal lamp - house, the illumination of id card numbers image is asymmetrical
本文應用了圖像處理和模式識別技術，建立了基於攝像頭的身份證號碼的識別系統。主要研究內容具體包括如下： （ 1 ）研究了亮度不均勻的身份證號碼圖像的分割。由於採用點光源進行局部照射，導致身份證號碼圖像的亮度不均勻，因此直接對圖像採用全局閾值進行分割不能有效地分離號碼體。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。An analytical mosfet threshold voltage shift model due to radiation in the low - dose range has been developed for circuit simulations. experimental data in the literature shows that the model predictions are in good agreement. it is simple in functional form and hence computationally efficient. it can be used as a basic circuit simulation tool for analysing mosfet exposed to a nuclear environment up to about 1mrad. in accordance with common believe, radiation induced absolute change of threshold voltage was found to be larger in irradiated pmos devices. however, if the radiation sensitivity is defined in the way we did it, the results indicated nmos rather than pmos devices are more sensitive, especially at low doses. this is important from the standpoint of their possible application in dosimetry
該模型物理意義明確，參數提取方便，適合於低輻照總劑量條件下的mos器件與電路的模擬。並進一步討論了mosfet的輻照敏感性。結果表明，盡管pmos較之nmos因輻照引起的閾值電壓漂移的絕對量更大，但從mosfet閾值電壓漂移量的擺幅這一角度來看，在低劑量輻照條件下nmos較之pmos顯得對輻照更為敏感。At first, bubble flow image is acquired using laser and incandescence lamp respectively as light source and using ccd. according to different optics - dispersion character, threshold segmentation method is proposed to identify gas from the gas - water flow, which make steadfast base for further calculate void fraction. the precision of threshold directly affect the calculate precision of void fraction
文中分別採用激光片光源和影視燈照明，採用逐行掃描數字ccd攝像機獲取氣泡的流動圖像；根據氣泡和水對光的反射特性不同，提出採用閾值法識別圖像中的氣泡和水，從而為進一步計算摻氣濃度打下堅實的基礎。Secondly, the radiation effects of the system of silicon gate si / sio2 ( silicon gate nmos and pmos ) implanted bf2 are made a deep systematic study. especially, the relationship between threshold voltage shift ( vth and vit vot ) in radiated mos transistor and irradiation dose rate, irradiation dose, irradiation temperature, bias voltage, device structure as well as annealing condition is explored emphatically
在此基礎上，對bf _ 2 ~ +注入硅柵si sio _ 2系統低劑量率輻照效應進行了深入系統的研究，著重研究了bf _ 2 ~ -注入mos管閾值電壓漂移（ vth和vit 、 vot ）與輻照劑量率、輻照總劑量、輻照溫度、偏置電場、器件結構以及退火條件的依賴關系。The severity of stochastic effects is independent of the absorbed dose. under certain exposure conditions, the effects may or may not occur. there is no threshold and the probability of having the effects is proportional to the dose absorbed
隨機性效應隨機性效應的嚴重程度是不受吸收劑量的大小影響。在一定的照射條件下，效應可能出現，也可能不出現，而發生的機率則與劑量大小有關，並且不存在劑量閾值。Secondly, image enhancement technique based on linear filtering is adopted. a new image segmentation method by means of automatic multilevel threshold is given, which realizes partial multilevel threshold segmentation based on image region partition of gray - level position projection, removes the influence of uneven illuminance or uneven gray - level distribution on goal recognition, and resolves the problem of error segmentation caused by threshold step between adjacent regions by threshold transition. the method has well robustness
在圖像處理時，採用基於線性濾波的圖像增強方法，並提出了一種新的自動多閾值圖像分割方法，該方法以基於灰度位置投影的圖像分區實現局部多閾值分割，克服了不均勻照明或不均勻灰度分佈對目標識別的影響，同時，通過閾值過渡很好地解決了相鄰區域閾值「階躍」引起的錯誤分割問題，具有很好的魯棒性。In detail, the major work that have been done are as follows : l. irradiated by the 1. 06 m 1. 319 m 3. 8 m laser respectively, when the incident laser power density is between the saturation threshold and the damage threshold, the vibrating phenomenon and the zero - output phenomenon can be seen in the pv - type detectors " response curve
論文的主要工作有： 1分別用波長為1 . 06 m 、 1 . 319 m 、 3 . 8 m的激光輻照光伏型（ pv ） hgcdte探測器，實驗發現，當輻照激光的功率密度大於其飽和閾值而小於其破壞閾值時，探測器的輸出存在「振蕩現象」和「零壓輸出現象」 。In the image preprocessing that includes image smoothing and linear gray level transformation, the author brings forward a mended linear gray level transformation based on mean of gray value to enhance the image contrast. in the segmentation the paper presents an arithmetic taking the area of the pointers and construction feature of the water meter into consideration, which can extract the part of pointers in the special space of the water meter, and then binarizes image using a dynamic threshold based on the area of the pointer. the design can enhance the recognition rate for the next step
在預處理中提出了一種基於灰度期望的分段線性變換；對水表的圖像分割，提出基於面積和結構信息的二值化自動分割，包括基於結構和灰度特徵的哈夫變換分割法（指針信息區的提取）和基於指針面積的特徵的閾值分割（指針提取） ；針對指針圖像的非均勻光照、背影等干擾，提出基於多特徵的分區模板匹配法對指針的方向進行識別，從而計算出讀數。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。Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network
然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。Following are detailed steps of this system : in the segmentation section, we use three successive frames to detect the motion infomation of the pictures, by using blockmatching algorithm in two successive frames twice, we can get two pictures composed of motion blocks of the moving object, then we find out the common motion blocks of the two pictures, experiments prove these blocks approximately compose the moving object. after getting the motion blocks, we calculate the center of these blocks as the center of the moving object, thus we can use the center point as the origin, construct n straight linesjoining the boundry of the image and the center. on each line, we can find out a proper point near the object contour according to some criteria, then we use these n points as the initial points of the snake and let the snake converge on the object contour, thus finish the segmentation of the moving object
本方案的實現過程為：分割部分：對運動目標的前後三幀進行兩次塊匹配運動檢測，通過找出兩個匹配結果中運動圖像塊的公共部分，獲得組成運動目標的圖像塊；求出運動目標圖像塊的形心作為運動目標的中心，以此中心為端點，向四周發散出角度間隔為的n條射線，射線的另一端終止於圖像的邊緣；在每條射線上按照一定的準則（點的梯度和與目標中心的距離在一定閾值范圍內）找出n個初始輪廓點；以這些初始輪廓點作為主動輪廓模型（ snake ）的初始點，用改進的貪婪演算法使snake收斂到待分割的運動目標輪廓上。( 3 ) hue can identify cattle from backgroud through ostu ' s thresholding, the correctness is over 98 %. and it ' s insensitive to earth, the illumiation intensity and shadow
（ 3 ）利用判別分析法確定閾值，色度能有效的識別肉牛和背景，識別正確率在98以上，且對土壤、光照強度變化、建築物陰影的敏感性小。The algorithm is built on the base of color image sub - way segmentation method. according to the hue and saturation, it can segment color image based on a histogram - based bi - threshold iterative. meanwhile, it captures some feature points to measure illumination variant, real - time update segmentation threshold
本演算法採用彩色圖像的分通道分割原理，以色度和色調為特徵量進行基於直方圖的雙閾值自動迭代分割，同時利用背景特徵點監測環境光照變化，自適應更新分割閾值。When processing the shadow of foreground moving objects, in order to overcome the influence of illumination change of part or integrity in the image, the color model of brightness distortion and chrominance distortion is established to distinguish shaded background, highlight background, original background and foreground objects, and then select the threshold automatically to classify the pixel points in the image
在處理前景目標的陰影問題時，為了克服了圖像局部或整體的光照變化的影響，通過建立亮度變化和色度變化的彩色模型，來區分陰影背景、高亮背景、普通背景及前景目標，然後自動選擇閾值對圖像的像素點進行分類。分享友人