未校正圖像 的英文怎麼說

中文拼音 [wèijiàozhēngxiàng]
未校正圖像 英文
non-corrected image
  • : Ⅰ副詞1 (沒) did not; have not 2 (不) not Ⅱ名詞1 (地支的第八位) the eighth of the twelve ear...
  • : 校名詞1. (學校) school 2. (校官) field officer3. (姓氏) a surname
  • : 正名詞(正月) the first month of the lunar year; the first moon
  • : Ⅰ名詞1 (繪畫表現出的形象; 圖畫) picture; chart; drawing; map 2 (計劃) plan; scheme; attempt 3...
  • : Ⅰ名詞1 (比照人物製成的形象) likeness (of sb ); portrait; picture 2 [物理學] image Ⅱ動詞1 (在...
  • 校正 : check; correction; adjust; revise; proofread and correct; rectify; calibrate; make true; master c...
  1. The color signal images which did not carry on correcting the atmosphere are equal to the space photographs to the ground, the ground objects are covered with blue mist which is formed by rayleigh scattering

    進行大氣的色彩信號等效于太空對地攝影,從可看出,地物被籠罩在瑞利散射形成的藍色「雲霧」下。
  2. The coordinate systems and time systems are described in detail at first, then the paper presents the whole algorithm containing line of sight generation and projection attitude data combination scan mirror calibration, find corresponding grid cell, resample. at the same time, scan gaps and detector delays are analyzed in detail

    論文首先對過程中用到的時間系統和坐標系統作了介紹,然後給出了完整的演算法,包括視線產生和投影、姿態合成、掃描鏡、尋找空間素到未校正圖像空間的對應素位置、重采樣這幾個部分,並在相鄰掃描行間隙的插值上採用了簡潔的方法。
  3. A novel and efficient dense matching method is proposed, which is based on the propagation by the voronoi decomposition of the images. the significant merit of the algorithm is that it can be applied to a wide range of image pairs including those with large disparities, with or without rectification

    提出了一種基於劃分的傳播式稠密匹配演算法,該演算法不僅適用於對,而且適用於存在大視差的對,以及中紋理稀疏的區域。
  4. Engineering drawing recognition technique aims at converting scanned engineering drawing images into vector formats compatible with popular cad systems. getting a vectorization result with sufficient accuracy is the basis for further drawing interpretation. unfortunately, none drawing conversion systems can achieve the satisfactory recognizing accuracy

    工程自動識別技術旨在將掃描工程轉換為與各種cad系統相兼容的矢量數據格式,精確的矢量化結果是進一步進行形理解的基礎,然而當前的紙掃描轉換系統均能取得令人滿意的素識別精度,矢量化結果中的錯誤只能依靠人工交互
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