清晰度檢驗圖 的英文怎麼說

中文拼音 [qīngxīdùjiǎnyàntú]
清晰度檢驗圖 英文
definition test objects
  • 清 : Ⅰ形容詞1 （純凈） unmixed; clear 2 （寂靜） quiet 3 （清楚） distinct; clarified 4 （一點不留） w...
  • 晰 : 形容詞（清楚; 明白） clear; distinct
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
  • 圖 : 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...
  • 清晰度 : 1 （傳聲的） articulation; legibility; intelligibility; definition; resolution; sharpness2 （電視...
  • 清晰 : limpid; vivid; distinct; clear
  • 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque（指檢查船舶...
  1. Micrographics - vocabulary - quality of images, legibility, inspection

    縮微攝影技術.詞匯.第5部分:圖像質量清晰度檢驗
  2. Micrographics. vocabulary. part 05 : quality of images. legibility. inspection

    縮微照相.詞匯.第05節：圖象質量.清晰度.檢驗
  3. Thirdly, the new method and nearest - neighbor method, single linear interpolation, bilinear interpolation were coded by vc + +, and a mfc application, bmpinterpolation, was achieved. many kinds of examples were tested using bmpinterpolation, including single color images and true color images ( 24bits ), photos and images after 3d rendering by 3dmax. the comparison between new method and the others indicates that the new method can not only get higher quality of images but also match the requirement of procedure speed

    用該程序可以實現了對單幅位圖文件的讀取和插值放大，通過單色和彩色圖像、照片圖像、三維渲染圖像等放大處理算例的檢驗，說明了本文的方法和程序是成功有效的，新演算法明顯優于幾種簡單插值放大方法的輪廓清晰度，且具有很好的快速性，兼顧了自動立體鏡三維顯示的快速性和清晰度要求。
  4. In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing

    為了便於后續的視頻分析，提出了一種基於模糊聚類神經網路（ fcnn ）的鏡頭突變檢測演算法，實現視頻鏡頭分割，該演算法具有檢測精度高、對運動穩健等優點；區域定位是字幕提取的關鍵一環，同樣利用fcnn分類器可實現字幕定位，但其運算量大，定位精度不高，因此提出了一種改進的投影分割方法實現字幕區域定位分割，實驗表明其簡單實用，適于實時處理；考慮到單個字元背景相對簡單，為此提出了一種基於單字元的字幕二值化演算法，最終在經由字元分割、二值化及殘留背景像素清除之後，得到了清晰、高質的字幕圖像，字元識別結果證明了這一點。
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