背面割面 的英文怎麼說

中文拼音 [bēimiàngēmiàn]
背面割面 英文
back cupping
  • 背 : 背動詞1. （用脊背馱） carry on the back 2. （擔負） bear; shoulder
  • 面 : Ⅰ名詞1 （頭的前部; 臉） face 2 （物體的表面） surface; top 3 （外露的一層或正面） outside; the ri...
  • 割 : 動詞（截斷） cut; mow
  • 背面 : the back; the reverse side; the wrong side
  1. On the basis of image segmentation, this thesis mainly discusses the algorithm of automatic target tracking in sequence images on the sea. firstly, in terms of the characteristics of image on the sea, such as weak contrast between target and background, borderline between sky and sea, spoondrift and so on, a method called barycenter tracking which is based on intra - frame information from the sequence images is proposed, in which the threshold method is the key algorithm

    在圖象分割演算法研究的基礎上，本文重點從兩方面討論了海上序列圖象中運動目標的自動跟蹤演算法:首先，針對海上圖象的特點，即背景與目標間的弱對比度、存在海天線、魚鱗光和目標拖尾等，設計了以閾值分割為核心的基於幀內信息的形心跟蹤方法。
  2. Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter. image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target

    論文在紅外目標檢測方面，以對經過預處理的圖像進行分割為切入點，採用二維類間方差法和局域生長法來進行圖像的分割，消除了原始圖像中一些不可能為目標的孤立噪聲點和大面積的背景區域。
  3. Xu rui - xin ( mechanic and electronic engineering ) directed by liu wei - ning real - time tracking moving objects in complex background is a study field of automatic target recognition ( atr ), it include segment target, pick - up character and recognize target

    復雜背景下實時目標的跟蹤與識別屬于自動目標識別（ atr ）研究領域，包括對目標的分割、特徵提取和目標識別等幾個方面。
  4. 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。
  5. 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。
  6. Because the field background is complex and uncertain, to remove the disturbance factor with general method is not very effective

    由於現場環境惡劣，帶鋼表面圖像具有背景復雜、噪聲大等特點，常規的分割方法難以準確提取缺陷。
  7. The background of surface image of steel rolling armor plate is very complex, some of them are common armor plate image and galvanization armor plate image etc. by reason of absence of general image segmentation theory, it is difficult to find a proper image segmentation arithmetic that is effective both to common armor plate image and galvanization armor plate image

    由於冷軋帶鋼表面（本文包括鍍鋅板和鋼板）圖像背景極其復雜，目前又缺乏通用的分割理論，現已提出的分割演算法很難找到一種即適合於分割冷軋鋼板表面缺陷圖像又適合於分割鍍鋅板表面缺陷圖像的方法。
  8. This thesis is focus on arbitrary background image which maybe contain human face, and build a research system combines the skin color segmentation, face template matching and filter candidate region by facial characteristic, some experiment have done based on the system and get a serials statistic data

    本文針對復雜背景下的彩色正面人臉圖像，將膚色分割、模板匹配與候選人臉圖像塊篩選結合起來，構建了人臉檢測實驗系統，並用自製的人臉圖像數據庫在該系統下進行了一系列的實驗統計。
  9. The study on query system using the basketball video fragments as an example is involved in such areas : first, in the condition of " video - flash " and " jump " phenomenon, the " two - level video segmentation algorithm " solves the mistaken detection of the shot edge ; second, the part or the whole video as the result of detection can be well played ; third, the text on the complex background can be detected and fixed, not only the speed but also the right proportion have been improved ; forth, the text can be divided into " regular detection " and " irregular detection "

    本課題以籃球比賽的視頻片斷為例，主要進行了以下幾個方面的研究： 1 ）針對視頻中的「閃動」和「急跳」現象，提出了「二級鏡頭分割演算法」 ，解決了鏡頭邊緣的誤識別問題。 2 ）對所檢測出的視頻片斷或整個視頻流進行播放。 3 ）基本解決了復雜背景下文字檢測與定位問題，提高了數字的識別速度與正確率。
  10. This paper introduces modern test and fault diagnosis methods and then discusses common principle and method for design of its hardware, software and interface with the background study on lawn mower

    本文首先對現代檢測與故障診斷方法進行了綜述，以某廠生產的駕乘式割草機、掃雪機變速箱為背景，論述了檢測診斷系統硬體、軟體、介面設計的一般原理和方法。
  11. In image segmentation, the paper improves some common algorithm of gradual segmentation according to its shortcomings. in the first segmentation step, the paper separates one fingerprint image to four parts at first, then confirms foreground board regarded as seeds by gray - level statistical features and apply region growing method, at last combines the four parts to one image that is the first segmentation image. in the second segmentation step, the paper signs the irrecoverable region from the first segmentation image by gray - level and directional statistical features

    在指紋圖像分割方面，本文針對一些普通的指紋圖像分級分割演算法的缺點，對它們進行了一些改進:在第一級分割中首先把指紋圖像等分為四個部分，然後利用灰度統計特性分別確定各個部分的前景區小塊，並作為種子塊，再利用灰度及方向等統計特性定義種子區域生長規則並進行前景區域生長，最後將四個部分合成一幅圖像即得到了一幅被分割掉背景的指紋圖像;在第二級分割中利用灰度及方向等統計特性分割掉第一級分割圖像中的不可恢復的模糊區。
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