recognition threshold 中文意思是什麼

recognition threshold 解釋
識別閾值
  • recognition : n. 1. 認識；識出；識別；面熟，認得；招呼。2. 承認，認可。3. 褒獎，表揚；感謝，酬勞。
  • threshold : n. 1. 門檻；入口，門口。2. 【心理學】閾限。3. 界限，限度。4. 【物理學】臨界值，閾。5. 入門，開始，開端。
  1. The initial vsd process uses two main characters, the average instantaneous energy and the average instantaneous zero crossing rate ( zcr ). to make the first recognition for the start and the end, the emphasis of which is to select the appropriate value of the threshold and the length of frame. in the final vsd process, the author compares several characters and confirms the new recognition character

    初步分段過程使用了能量和過零率這兩個主要特徵進行端點檢測，重點是合理選擇兩個重要參數? ?門限和統計幀長度的取值；在最終分段過程中，筆者首先通過比較幾種特徵的識別效果，選擇卡爾曼濾波參數作為再次分段的識別特徵，還提出了一種新的識別特徵? ?周期性緩變特徵，使用這兩個特徵分別在子語音段內進行端點檢測。
  2. 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。
  3. 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。
  4. The method combining local ga with global ga optimizes the performance of visual servoing system. first, target recognition preprocess is carried out by global ga. after the fitness value reaches a certain threshold value, the global ga will

    主要通過全局ga完成目標檢測的預處理，當適應度值達到一定的閩值以後，它將切換到局部ga來進行一個更為精細的和快速的目標識別。
  5. 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。
  6. 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。
  7. 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。
  8. With the way of binarization by globe threshold, the extracting mathod of " effective - rows " feature of handwriting numerals and recognition mathod of two parallel bp networks, good result is acquired

    在圖象處理演算法中，應用圖象全局二值化方法、字元「有效行」特徵的提取和雙bp神經網路，對手寫體字元的識別取得了良好的效果。
  9. 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。
  10. Secondly, comparing with the algorithm that was given by english scholars a. k. nandi and e. e. azzouz in 1995, this dissertation presents a modified automatic recognition algorithm of six kind of digital modulation types such as 2ask, 4ask, 2psk, 4psk, 2fsk and 4fsk, which only uses four key features, and has a very great exaltation in the rate of correct recognition and the performance of signal to noise, we puts forward the constitution of the best threshold which is applicable to the signal that changes within the scope of the signal to noise rate ( snr ) from 5db to 30db, and the overall success rate is not lower than 92 % when snr is over 7db

    其次，針對1995年英國學者a . k . nandi和e . e . azzouz提出的針對2ask 、 4ask 、 2psk 、 4psk 、 2fsk和4fsk這六種常用的數字調制信號識別的演算法，提出了一種數字信號調制方式識別演算法（ dmra ）的改進演算法。該演算法僅利用四個特徵參數，就可以識別這六種調制方式，而且在調制識別率和信噪比性能上都有了很大的提高，能夠在信噪比不低於7db時，對實際信號的識別正確率高於92 % 。並且提出了最佳門限的設置方法，設置的門限適用於信噪比在5db ~ 30db范圍內變化的信號。
  11. 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。
  12. An example for detecting the eyelid closure over the pupil over time is given. the combinations of mathematical model and symmetry analysis increases the robustness of the performance while the target is deformed the scheme is suitable for human face location in intelligent human - machine interface and provides a groundwork to practical application efface recognition techniques. the laboratory experiments are conducted to verify the feasibility of the detecting and evaluating techniques of motor driver fatigue mentioned above and to determine the threshold of motor driver fatigue

    在駕駛過程中，連續測試駕駛員的perclos值和眼睛持續閉合時間，一日駕駛員的眼睛perclos值人於40 、眼睛持續閉合時間大於3s ，系統就判定該駕駛員的疲勞程度己超過駕駛疲勞程度的閾值，並且立即發出「哺哺哺」的警告聲，如果駕駛員5秒內還繼續駕駛車輛，系統會自動切斷山路和油路，使車輛自動停車，以避免發生交通事故。
  13. Fast threshold segmentation algorithm for surface mounting component image recognition

    表面貼裝元件識別中的快速閾值分割演算法
  14. A tool to analyze the object based on color character is designed. the threshold value for image recognition can be decided by many experiment and the results statistic. the results of many experiment in defferent conditions, the image recognition accuracy rate has reached 100 %

    設計一個針對被識別目標的顏色特徵分析工具，通過多種情形的實驗和對實驗結果的統計確定了用於識別的閾值。不同環境下的實驗結果證明，告警燈識別準確率達100 % 。
  15. 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。
  16. This recognition method integrates traits of nearest neighbor method and k - neighbor method. its basic principle is to improve recognition reliability with tow additive thresholds. in addition, ternary threshold neighbor recognition method ’ s fast arithmetic based on c - average clustering and huffman tree is put forward

    2 .本文在經典統計模式識別方法的基礎上，結合了最近鄰識別法和k近鄰識別法的特點，給出一種三閾值近鄰識別方法，其基本原則是在尋找未知樣本的近鄰時，通過附加閾值的限制，進一步提高識別的可靠性。
  17. The three primary color channels of color image are separately captured to the image acquisition board by using special hardware and software technology, therefore, three lines of seeds are parallel captured. contrastive test is done to compare advantage and disadvantage of threshold chosen method, which can either be chosen from trying or iteration, and predefined threshold chosen is selected, which result in lessen processing time. region labeling using sequential algorithm and seed object recognition are studied, and then the center of a region is calculated

    包括：為了有效地去除大量冗餘圖像信息，減少計算機存儲量，而採用的逐場採集和隔幀存方法；為實現三行播種通道種子信息的并行採集，圖像三分量獨立採集的軟硬體技術方法；對比實驗了自定義閾值選取與基於迭代方式的最優閾值的優缺點，選用了自定義閾值進行圖像分割，縮短了圖像處理時間：研究了基於序貫演算法的種子區域標記技術與種子目標識別技術，並進行了質心參數計算。
  18. 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。
  19. 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。
  20. The images to be processed is obtained in condition of nonuniform illumination. a threshold surface by interpolating zero - crossing points is used to segment image to avoid influence of nonuniform illumination. then the destination region can be detected using the method of pattern recognition and the method advoid the influence of nonuniform illumination effectively. the contour description is obtained by fitting at least squares principle

    論文在分析當前圖象分割的現狀和趨勢的基礎上，採用基於log運算元的動態閾值選取對圖象進行分割，以克服非均勻光場給圖象分割帶來的影響，然後通過對區域特徵的提取和分類準則的確定，準確識別出目標區域。
分享友人
分享到 Line

分享到臉書