識別閾 的英文怎麼說

中文拼音 [zhìbiéyù]
識別閾 英文
identification threshold
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 閾 : 名詞1. [書面語] （門坎兒） threshold; doorsill2. （界限; 范圍） threshold
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. ( 2 ) the key to improve the processing time is the multi - scale feature used to accelerate the binary - process. ( 3 ) apery intelligent character cognitron has been given based on the varied - grid feature vector and multiplayer and multi - mode of cognition psychoanalysis

    （ 2 ）識別實時性改進的關鍵是提高二值化處理速度，主要利用小波多尺度特性變閾值的全局搜索為局部定位，提出一種改進的二值化方法。
  2. Due to the image exists the instances of spin and distortion, in order adopting part small template proceed matching in order to reduce thereof impacts by as possible, besides small template matching may decrease calculation quantity, and it is propitious to real time of matching. looking into be on the impact of illumination, chromatism, under cloak circumstance template size and quantity select versus matching rate. matching primitive chooses gray, gray information measure large and most easy to obtain, but it is rather effected by illumination condition and chromatism, maximum matching rate restricted to 70 %

    瓷磚缺陷檢測採用待測圖像與標準圖像作差法，作差法對匹配精度要求較高，因此在匹配誤差存在的點進一步做了亞像素級的匹配;導彈目標識別，採用背景匹配的方法，統計背景移動距離指導目標的識別;叢林中移動目標識別，採用作差法找到目標區和背景區，分別採用不同的模板和閾值匹配，統計目標區匹配結果。
  3. Secondly, the steps of the glass ' s image processing are discussed in detail. based on the experiments and the characteristics of interference fringe, we pre - process the images with median filter and image segmentation with dynamic threshold. after marking and thinning the resulted fringes, we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework

    然後，結合檢測系統中玻璃干涉圖像處理的任務，詳細介紹了處理的各個步驟：通過實驗比較，並結合干涉條紋圖像的特點，選擇中值濾波、動態閾值分割等技術對圖像進行預處理；然後對獲得的二值條紋進行標記、細化，提取條紋骨架；最後，用骨架的特徵進行線性分析，識別條紋的類型，判斷玻璃樣品的均勻性。
  4. The characteristic and essentiality of structural damage alarming are discussed. a method which applied two different wavelet bases to decompose and recompose measure signals is proposed to detect structural damage. by a coefficient of damage alarming which is defined as k and a threshold which is specified as u, information of emergence and damage time are obtained

    探討了結構損傷預警的特點和重要性，提出了一種應用兩種小波進行分解和重構的損傷預警方法，並定義了一個多尺度信號損傷奇異點搜尋的指標_ k ，以預警指標閾值能有效識別結構是否發生損傷。
  5. In this system, the movement of the step - electromotor is controlled by computer, and then the dial pointer is drove by the step - electromotor. at the same time, these images of the analog instrument are took by high precision ccd video, and then these images will be processed by the computer, using some image - processing algorithms such as image segmentations, threshold identification, image binarization, areas labeling, dial center - point identification, useful areas identification & abstracting, and areas thinning, etc. followed this, the dial pointer of the “ circle ” is able to be located. at last, the dial pointer position will be recognized by the computer

    本系統由計算機控制步進電動機的運動，進而驅動指針式儀表表針的運動，並且通過高精度ccd攝像機實時獲取表盤圖像數據，同時進行表盤圖像的相關處理，包括圖像分割，閾值確定，圖像二值化，區域標記演算法，圓心擬合，有效區域識別提取，區域細化等，最終快速識別出表盤指針所處位置;最後，根據國家指針式儀表類檢定規程所制定的演算法計算出該儀表的相關誤差，檢定指針式儀表的各種精度，通過這些數據判斷該儀表是否合格，列印該儀表的檢定結果報表。
  6. Based on these algorithms, and consider the property of the arc image, we proposed a new multi - stage algorithm. the proposed algorithm involves the class separability criterion in pattern recognition, and double - threshold method and non - maximum suppression proposed in canny operator. we apply this algorithm to the arc image, and get a better result

    並在這些演算法的基礎上，基於電弧圖像的特點，提出了一種改進的多階段邊緣檢測演算法，這個演算法中應用到模式識別中的類別可分離判據的理論，並使用了canny演算法所中提出的雙閾值法和非極大值抑制方法等等。
  7. The computer acquires the image of dial gauge by high precision ccd video, after that the computer will process the dial gauge image by some image - processing algorithms such as image segmentations, edge searching, area segmentations and locating the pointer by the " circle ". at last the computer will recognise the dial pointer position and work out the precision of dial gauge in accordance with nation criterion of dial gauge. this study presents several optimum algorithms to realize quick recognition of the pointer and calibration lines of detected dial and improve the accuracy and real time quality of detecting

    本系統由計算機控制步進電動機的運動，進而驅動指示表表針的運動，通過高精度ccd攝像機實時獲取表盤圖像數據，同時進行表盤圖像的相關處理，包括閾值分割、邊緣檢測、圖像銳化以及區域分割和定心圓檢測等，最終快速識別出表盤指針所處位置，最後根據國家指示表類檢定規程所制定的演算法檢定出指示表的各種精度，本系統所採用的圖像處理演算法運算量少，速度快，從而大大提高了系統的實時性。
  8. The correctness is over 99 %. ( 5 ) shape features studied were aspect, first invariant central moment, elongatedness, roundness, circularity and thickness. aspect and first invariant central moment are the most effective shape features for identifying monocotyledonous weed from dicotyledonous weed, and the correctness was 93 %

    （ 4 ）利用修正的色度公式，由判別分析法確定色度閾值，對雜草圖像進行閾值分割，能夠有效地識別植物與非植物背景，正確識別率在99以上，但色度的計算量大於過綠特徵的計算量，不利於雜草識別速度的提高。
  9. 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。
  10. In this paper, the contrast of original image is enhanced by nonlinear transformation based on the characteristics of grain image ; after comparing several methods of threshold segmentation and analyzing their performance and applicability on grain image, the adaptive threshold segmentation based on gradient image is presented ; the noise of binary image is reduced with morphological filter, the hollow in binary image is filled in and a recognition algorithm is designed to remove agglomerate particle ; on the basis of mathematical morphology two methods are adopted to segment agglomerate grains that are not agglomerated tightly ; the parameters of size and shape, perimeter, area, diameter, complexlity, longest feret diameter, shortest feret diameter etc, are extracted. this technique is applied in measurement of pearl powder ' s particle size

    本文根據粒度圖像的特點，採用非線性對比度增強處理改善顆粒顯微圖像的對比度；對多種閾值分割方法進行比較，分析了它們的性能和用於粒度圖像的適用性，在此基礎上提出了一種基於梯度圖像的動態閾值分割方法；對獲取的顆粒二值圖像進行形態濾波和空洞填充，設計了識別演算法去除凝聚體；對重疊不太嚴重的粘結顆粒採用了兩種基於數學形態學的分割演算法；提取了周長、面積、粒徑、復雜度、最長feret徑、最短feret徑等大小和形狀特徵參數，對珍珠粉等粉體粒度進行了測量。
  11. By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image

    綜合運用閾值分割、邊緣識別和像素標記法等圖像識別技術，通過圖像得到每個模型的相關定位信息。
  12. 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。
  13. 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。
  14. This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic

    本文詳細介紹了薄形組合件自適應識別系統；闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法，有效地解決了識別區域的定位問題。針對裝配零件（主要是墊片）薄、小導致圖像信息少、識別難度大，以及材質不一導致採集到的組合件圖像亮度波動等問題，提出了使用最佳閾值迭代法和使用種子填充的圖像串列分割技術，自適應地找出最佳閡值，使墊片和背景分離，從而提取墊片數目信息。
  15. ( 3 ) when the threshold of excess green, which is generated by red, green and blue without being normalized, is set at 30, it can correctly segment plant from soil background. the correctness is over 99 %

    （ 3 ）沒有歸一化的過綠特徵受自然環境的影響較小，當取全局閾值30時，就能夠有效識別植物與非植物背景，正確識別率在99以上。
  16. The integral structure of system are analyzed, and a scheme based on dsps processing board + mcu control board are put forward firstly, following design difficulties and relevant measures. every modules of dsps board are described in details, including chips selection, implementation manners choice, interface and time sequence match and etc. compared otsu single threshold segmentation with multi - threshold segmentations, the latter are preferred to perform the object identification in hardware designed by author. combined to like background rejection, morphology expansion and etc. steps, the paper gets the length of queue ; finally, a - b united control and area united control based on can bus are designed

    首先分析了系統的總體結構，提出了一種基於dsps處理板+單片機控制板的信號機實現方案；在此基礎上，重點介紹了處理板模塊化的硬體電路設計，其中考慮了晶元的選型、實現方式的選擇、工作機制、時序匹配等問題；之後，分析了otsu單閾值目標識別和多閾值目標識別的效果，重點選擇後者在硬體電路板內對圖像進行了目標識別的演算法處理，結合背景的剔除、形態學膨脹等幾個減小誤差的措施，對車輛排隊長度進行了較為精確的提取；最後在控制板上完成了干線a - b信號聯動控制和基於can總線的區域聯網控制的通訊方案設計。
  17. This paper mainly accomplished the following research : summarize the classify and application fields of four - probe testing technology ; take the square four - probe testing technology study by using the advantage of rymaszewski method in auto - eliminating the portrait wandering influence to induct ry method to square - probe testing method ; deeply study the influence of probe wandering to progressed ry method testing result ; complete the design of testing panel and testing circuit, realize the auto - testing of mono crystal wafer ; discuss the image enhancement and threshold selection problem in image identify, and finally accomplish the identify of probe pinpoint. the main new view points of the research : 1. it is the first time for applying image manipulation and analysis technique to the sheet resistance measurement, and achieving the auto - location function of the probe

    為此，本文開展了以下研究工作：綜述了四探針技術的分類以及應用范圍；對方形四探針測試技術進行了研究，利用rymaszewski法自動消除探針縱向游移影響的優點，將它應用於方形探針測試法中，並對探針游移對改進rymaszewski法測試結果的影響進行了深入探討，提出了用圖像識別技術監測測試進行的方法；完成了測試系統的測試平臺以及測試電路的設計，研製出具有圖像識別功能的斜置式方形探針分析儀一臺，實現了矽片電阻率測試的自動化；對圖像識別過程中涉及到的圖像增強和閾值選擇問題進行了論述，最終實現了對探針針尖的圖像識別以及探針測試結構的自動調整，保證了方形探針測試儀的測試精度。
  18. Studying various pretreatment for the probe image and applying the pixel threshold selection technique to distinguish the probe from wafer and adjust the measurement position automatically

    研究了探針圖像的圖像增強和閾值選擇問題，識別探針並自動調節探針測試位置。
  19. According to these features, this thesis not only presents how to tone up, segment, match after a target being locked and extract image by using sobel brim extraction method but also raise a new threshold selection method - - fuzzy threshold method when extracting brim. in a tv target tracing system, image matching recognition also play an important part

    針對這些問題，本文在具體闡述了目標捕獲后，如何對圖像進行增強、分割、匹配識別等圖像處理方法的同時，使用了sobel邊緣提取方法進行提取，給出了一種新的在邊緣提取時閾值選擇的方法? ?模糊閾值法。
  20. Pretreatment of image is studied, such as graying, smoothing, the choice of threshold value, edge detection, erosion, inflation, figure pick - up, figure following, image segmentation. the aim is to produce a breadth of image easy to recognize and understand for computer, at the same time the base is established for stereo vision

    對圖像的預處理進行了研究，如圖像的灰度化、平滑化、閾值選擇、邊緣檢測、腐蝕、膨脹、輪廓提取、輪廓跟蹤、圖像分割等，目的是產生一幅計算機易於識別和理解的圖像，同時為立體匹配奠定了基礎。
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