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automatic extraction造句

"automatic extraction"是什么意思   

例句與造句

  1. An automatic extraction algorithm for captions in video images
    視頻圖像中字幕區(qū)域自動(dòng)提取算法
  2. A novel method for automatic extraction of vascular envelope from ivus images
    圖像血管包絡(luò)的新方法
  3. Automatic extraction of main roads from aerial remote sensing images
    從航空遙感圖像中自動(dòng)提取主要道路
  4. Study on automatic extraction of features in successive facial images
    人臉序列圖像的特征自動(dòng)提取方法研究
  5. Semi - automatic extraction of houses with multi right angles from aerial images
    航空影像多直角平頂房屋的半自動(dòng)提取
  6. It's difficult to find automatic extraction in a sentence. 用automatic extraction造句挺難的
  7. An automatic extraction method of remote sensing information based on multi - characters space
    基于多特征空間的遙感信息自動(dòng)提取方法
  8. Discussion on automatic extraction of urban area ' s variation inforation tm image in kunming
    影像自動(dòng)提取昆明城區(qū)區(qū)域變化信息的應(yīng)用
  9. We realize automatic extraction of road network in sar images by a two - step algorithm
    用兩步法實(shí)現(xiàn)了sar圖像中路狀特征的自動(dòng)提取。
  10. Research on automatic extraction method for road network based on color and textural features
    基于顏色和紋理特征的道路網(wǎng)絡(luò)自動(dòng)提取研究
  11. 4 . to extract the preparation line on the basic tooth model , an algorithm of automatic extraction of feature line is proposed
    ( 4 )提出了一種在牙齒預(yù)備體三角網(wǎng)格模型上實(shí)現(xiàn)邊緣線自動(dòng)、自適應(yīng)提取的算法。
  12. Lee , c . m . and a . kankanhalli , automatic extraction of characters in complex scenes , international journal of pattern recognition and artificial intelligence , vol
    1995年,李春茂博士和a . kankanhalli先生.在國際模式識(shí)別與人工智慧學(xué)報(bào)上發(fā)表復(fù)雜場(chǎng)景下字元的自動(dòng)提取專題論文
  13. In the implementation of data classifier , we describe extraction and management of conceptual hierarchy for data , also design an automatic extraction algorithm for numeric data . in this section , we still provide the two algorithms of concept - based attribute - oriented induction and evaluating classification scheme and the visualization of classification rule . finally , the data classifier is tested in databas the results show that it is practical and its performance meet the requirement of designing
    然后,在數(shù)據(jù)分類器的實(shí)現(xiàn)中,論述了數(shù)據(jù)的概念層次提取和管理,并對(duì)數(shù)值型數(shù)據(jù)給出了一個(gè)自動(dòng)提取概念層次算法;同時(shí)給出了基于面向?qū)傩詺w納的分類算法、分類模式的評(píng)價(jià)算法和分類規(guī)則的可視化方法。
  14. The most difficult thing in automatic extraction of roads in sar image is that we have to face various disturbance , including not only those beside roads such as automobiles 、 trees and street lamps , etc . , but also speckle which floods in the whole sar image
    從sar圖像中自動(dòng)提取主干道路的困難在于, sar圖像中存在著大量的干擾。這些干擾既包括來自道路目標(biāo)附近的干擾,如汽車、樹木和路燈等等,也包括充斥于整幅圖像的相干斑噪聲,相干斑給sar圖像的解譯造成了極大的困難。
  15. The intelligent inspection system of pipeline is established and the project database is designed , the interpolation and signature map of defect mfl signal data are solved effectively , the feature automatic extraction and intelligent evaluation of geometric parameters of the defects are shown and proved practical ; the whole process of pipeline inspection are given step by step , these results and conclusions help improve the pipe defect recognition and solve some difficult problems in the field of pipeline mfl inspection
    建立了管道(鋼管)缺陷漏磁法智能檢測(cè)和數(shù)據(jù)分析系統(tǒng),設(shè)計(jì)了系統(tǒng)工程數(shù)據(jù)庫,實(shí)現(xiàn)了缺陷漏磁場(chǎng)數(shù)據(jù)的插值和圖像處理,完成了缺陷漏磁場(chǎng)特征自動(dòng)提取和缺陷外形尺寸的智能識(shí)別,給出了管道缺陷漏磁檢測(cè)的整個(gè)步驟和過程。這一切解決了國內(nèi)管道漏磁檢測(cè)的定量化、智能化的難題,補(bǔ)充了國外管道漏磁檢測(cè)的不足。
  16. Peak feature is very important for sar atr . in order to extract target ' s peak from sar image rapidly and accurately , the method of target ' s peak feature extraction is firstly studied in this dissertation . and a method of target ' s peak automatic extraction in sub - pixel accuracy is proposed , it can estimate the position of peak in sub - pixel accuracy
    峰值特征是sar圖像目標(biāo)識(shí)別的重要特征,為了由sar圖像快速、精確地提取目標(biāo)峰值特征,論文首先研究了sar圖像目標(biāo)峰值特征提取方法,提出了一種子像素級(jí)精度的sar圖像目標(biāo)峰值特征自動(dòng)提取方法,其對(duì)目標(biāo)峰值位置的估計(jì)精度可以達(dá)到子像素級(jí)。
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