license plate method 中文意思是什麼

license plate method 解釋
車輛牌照記錄法；車輛牌照法
  • license : 漁業許可證
  • plate : n 1 厚金屬板 〈cf sheet〉 板（片）；（記有姓名等的金屬）牌子，（尤指醫生的）招牌，藏書牌；【印刷...
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. Moreover, aiming at the location of inclined license plate, we have proposed the algorithm based on gray changing characteristic and orientation field. in this section, we discussed in detail the application of mathematical morphology operator in rough locating objective region and introduced the theory and realization method of orientation field. then we used it to detect inclined angel of objective region, finally we can precisely locate and emendate the inclined license plate based on detection result, and so we provided the favorable foundation for segmenting character

    此外針對傾斜車牌區域的定位分割問題，提出了基於灰度變化特性和方向場計算的定位演算法，其中詳細討論了數學形態學運算元在目標區域粗定位中的應用，重點介紹了方向場計算理論和實現方法，並將其應用於目標區域傾斜角度的檢測，根據檢測得到的結果進行了傾斜車牌區域的準確定位和校正，為后續的字元分割打下良好的基礎。
  2. In chapter two, some details are given to illustrate the hardware composition of the system. chapter three is focused on the location method of license plate, while chapter four is focused on the recognition. and chapter five give a evaluation of our system. disclose some weakness and paint out some general solutions. the last chapter ? hapter six, is a summary of writer ' s work, and gives a prediction, which is about of the fut re tendency of lpr

    第三章介紹圖象處理模塊中的牌照定位模塊，第四章針對圖像處理中的字元識別進行介紹。第五章對系統性能作出評價，找出不足，提出初步的解決思路。第六章是結束語作者的工作，對牌照識別的發展作出自己的預測。
  3. Study on license plate binarization method under nonuniform illumination

    不均勻光照下車牌圖像二值化研究
  4. Besides, taking into account the asymmetry sunshine, deferent gray and other factors " effect on license plate, binarization method is modified, a special local binarization method is presented for car plate image

    再者，根據光照不均、車牌字元灰度差異等因素對車牌成像影響的規律，將圖象二值化方法進行改進，提出種針對乍牌字元圖象的局部二值化方法。
  5. 2. at the license plate location phase, we propose a new rough localization method which based on connected area horizontal clustering

    2 .在車牌定位階段，本文提出了基於連通區域水平聚類的車牌粗定位方法。
  6. In the chapter of character segmentation, the traditional method of finding minimum vertical projections combined with plate license format is used. the use of space mark matching method proposed in this dissertation to ensure the first segmentation position obtains a very high rate of success

    在字元分割方面，提出了間隔符區域匹配的方法獲得分割起始位置、並以二值圖像垂直投影尋找極小點結合車牌制式先驗知識的演算法，以消除車牌左右兩端定位精度對字元分割的影響。
  7. Experimental results show that after reducing the dependency of features, sa method works better. the most three important features of the license plate regions are obtained in the experiment and our algorithm is robust in filtering out false plate regions. in the module of binarization of license plate, based on algorithm of casda ( cluster algorithm based on spatial distribution analysis ) an improved quick binarization algorithm i - casda are proposed to get rid of the influence of the illumination

    運用本演算法對復雜背景的車輛牌照進行檢測，實驗結果表明，基於簡單平均融合運算元的檢測演算法得到的檢測率高， 80 . 36 （訓練樣本）和76 . 54 （測試樣本） ，平均檢測速度為每幅圖象0 . 81秒，滿足實時性要求；區域寬高比、區域密度和區域寬度比率是車牌區域最重要的三個特徵；本演算法魯棒性好，可較好地排除相似紋理區域（如廣告牌等）的干擾。
  8. In the module of vehicle license plate detection, a novel classifier fusion - based algorithm is proposed. after locating candidate license plate regions, features of these regions are extracted for the optimal feature subset by exhaustive search strategy. based on classifier fusion theory, simple average ( sa ) method and two weighted average ( wa ) methods are applied

    針對車輛牌照的檢測模塊，提出了一種新的基於分類器融合技術的車輛牌照檢測演算法：從候選車牌區域中提取車牌區域特徵，搜索出候選車牌區域的最佳特徵組合，應用簡單平均運算元和加權平均運算元進行融合判斷，定位車牌區域。
  9. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。
  10. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  11. A recognition method of license plate character is presented, which extracts the space structure feature of chinese character and then recognizes them using multilevel classifier

    採用多級分類方法，充分利用車牌漢字圖像的空間結構特徵（像素空間分佈投影，字元的筆段類型、數量及拓撲關系等）可實現車牌漢字的快速辨識。
  12. The method of character recognition takes an important part in the whole system, and it has direct effect on the last license plate recognition result. the key technique lies in the matching of feature and classifier. typical difficulties are the character blur, character destruction and character image stained because of the performance of the vidicons, the clean degree, illumination conditions and the movement of the vehicle and so on

    車牌的字元識別是整個車牌識別過程中重要的一環，識別方法的好壞直接影響到了整個車牌最後的識別結果，關鍵在於特徵與分類器的選擇和匹配，難點主要是由於受到攝像機的性能、車牌的整潔程度、光照條件和車輛運動等因素車輛牌照識別系統（ lpr ）研究一的影響使得車牌字元出現較嚴重的模糊、缺損或污染，本文給出了一個字元識別的多特徵相結合的處理過程，使各個特徵互為補充，最後得到了一個較好的處理結果。
  13. License plate method

    車輛牌照記錄法
  14. 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。
  15. An improved vehicle license plate tilt correction method based on sobel edge detector and a new plate pre - processing algorithm based on area filter is present

    摘要車牌預處理是汽車牌照自動識別系統中的一個重要的環節，預處理的好壞直接影響到後面的識別結果。
  16. The experiments show that the method proposed by the dissertation can attain a quite finer vehicles license plate recognition effect. thereinto, the precision rates of chinese characters, alphabetic and digital characters are 98 %, 97. 8 % and 98. 95 %, and it achieves practical requirements

    經大量實驗證明，本文提出的演算法對車牌的識別效果令人鼓舞，其中，漢字、字母、數字的實驗識別準確率分別為98 、 97 . 8 、 98 . 95 ，達到了實用要求。
  17. New method the vehicle license plate character segmentation based on concomitant and complementary color features

    基於伴生與互補顏色特徵的車牌字元分割新方法
  18. In regard to the deformed character of the license plate and the varied illumination and strong noise disturbance conditions, this paper put forward a character recognition method based on the artificial neural network which has many merits, such as highly anti - interference quality, highly recognition rate

    針對車牌字元圖像的變形、非均勻光照、強噪聲干擾等條件，本文提出了一種基於神經網路感知機的字元識別方法，該方法具有網路結構簡單，識別速度快，抗干擾能力強，識別率高等諸多優點。
  19. The low recognition rate to the poor vehicle license plate images is weakness of the traditional template match method

    傳統的模板匹配法的缺點是在車牌圖像質量退化時識別率較低。
  20. The lpr system processes the natural image with stochastic disturbance. the paper presents a pretreatment method able to solve the problem that the image contrast degree is too lower to our eyes because of unconstrained illumination conditions. single character image segment means that the whole license plate image will be divided into several little parts and then followed by character recognition

    系統面對的是從實際場景中切割出來的車牌圖像，伴隨著很多的隨機性干擾，本文提出的針對車牌圖像的預處理過程對灰度圖像可以達到較好的處理效果，而且在一定程度上解決了由於外界光照而造成的車牌圖像對比度低的問題。
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