瞳孔圖 的英文怎麼說

中文拼音 [tóngkǒngtú]
瞳孔圖 英文
pupillogram
  • 瞳 : Ⅰ名詞（瞳孔） pupil （of the eye）Ⅱ形容詞[書面語] （無知的） ignorant
  • 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...
  • 瞳孔 : pupil; pupilla; sight瞳孔擴大 corodiastasis; corediastasis
  1. Sensitivity to light photophobia, redness, irregular pupil size, pain, and tearing, etc. fig 3

    畏光紅眼瞳孔大小異常眼痛及流眼水等圖三
  2. Sensitivity to light ( photophobia ), redness, irregular pupil size, pain, and tearing, etc. ( fig 3 )

    畏光、紅眼、瞳孔大小異常、眼痛及流眼水等（圖三）
  3. The author mainly anticipates the task including the simulation of eye fundus imaging and image mosaic. on the base of the dr principle and ophthalmic phototropism study, the author analyze and contrast new fundus camera system with traditional fundus camera. the author will establish the eyeball model with 3ds max technology, imitate the simple eyeball dioptre system and simulate the narrow - angle imaging to ensure the rationality and authenticity of fundus image, which solves the object origin of later image process, then fast mosaics the nine piece of fundus images with the help of the image registration theory and acquire a piece of wide - view fundus image containing more information, thereby provides doctor with enough diagnostic detail, which solves the problem of narrow view

    作者在熟悉糖尿病性視網膜病變原理和眼科屈光學的基礎上，進一步研究分析了新型免散瞳眼底照相系統和傳統眼底照相機原理和區別，擬採用3dsmax建立三維眼球模型，模擬眼球屈光系統，模擬眼底照相系統的小角度拍攝，使獲取的眼底圖像合理真實，解決後期系統圖像分析處理的對象來源問題;然後運用醫學圖像配準理論對模擬獲取到的九幅小角度眼底圖像進行快速拼接，拼成一幅大角度的眼底圖像，解決小瞳孔拍攝圖像視角太小的問題;最後通過對眼底圖像配準演算法在相似性測度和搜索演算法的比較，找到一種適合眼底照相系統的眼底圖像拼接的快速演算法。
  4. Fundal examination with pupil dilated is necessary in all cases fig. 5

    所有患者均要在放大瞳孔下進行詳細的眼底檢查圖五
  5. Examinations include measuring the intraocular pressure with a slit lamp and dilating pupil for fundal examination fig 4

    包括裂隙燈生物顯微檢查圖四量度眼壓，以及放大瞳孔進行眼底檢查
  6. Fundal examination with pupil dilated is necessary in all cases ( fig. 5 )

    所有患者均要在放大瞳孔下進行詳細的眼底檢查（圖五）
  7. We encoded and optimized the filter to design the algorithm for filter. computer simulation of complete simulation has demonstrated that the new filtering technique can significantly not only reduce the width relative deviation and the area relative deviation of the image, but also improve the resolution and the focal depth. it provides directive basis for the development of the experiment and the practicability of the technology

    計算機模擬結果表明，通過在非瞳孔面的適當分數傅立葉變換面上加入優化設計的位相型濾波器，可有效減小光刻圖形的線寬偏差和面積偏差，提高成像系統的解析度和焦深，為分數域濾波改善光刻圖形質量實驗的開展和這一解析度增強技術走向實用化提供了指導依據。
  8. The system takes the image of the eye of the tested subject when he is gazing at a position, and processes the eye image to get the relative position of the pupil in the eye, then calculates out the gaze position where he is gazing at

    該系統對被測對象觀察不同注視點時的眼睛進行成像，通過圖像處理得到瞳孔在眼睛中的相對位置數據，從而計算出所觀察的注視點的位置。
  9. Using the eye - gaze distinguishing and tracking method based on the image processing technique, the position relationship between pupil center and glint which produced by the corneal reflection and the near - infrared light was analyzed, the fixation point of the eye - gaze on display screen was deduced, and the mouse accuracy by eye - controlled in the screen may achieve to 40 pixels

    摘要利用基於圖像處理技術的視線方向識別、跟蹤方法，通過近紅外光線在眼睛角膜反射產生的光斑和瞳孔中心的位置關系來確定視線方向，推導出人眼在計算機屏幕上的注視點，進而實現人眼對鼠標的定位與操作，其在顯示屏上定位精度可達到40 40像素。
  10. The proposed method accurately and fleetly locates the inner boundary of the iris by means of detecting the diameter of the pupil in the binary image. then, the outer boundary is detected by a deformable circular template

    它利用了虹膜瞳孔的生理特徵，在二值化后的虹膜圖像中尋找水平最長弦，從而定位瞳孔的大致位置，在此基礎上經過進一步的細化提取準確的瞳孔中心位置。
  11. For the coordination of the contradictory, the wavefront technique has been regarded as an effective method to improve the image quality in photolithography by optimizing the image of the mask. it includes : pupil filtering, phase shift mask, off - axis illumination, optical proximity correction, and so on

    為了協調這種矛盾，利用波前工程來改善光刻圖形的質量以提高光刻解析度，已廣泛地應用於光學光刻中，如：瞳孔濾波、相移掩模、離軸照明、光學鄰近效應校正等。
  12. Pupillary responses evoked by spatial patterns

    視覺圖形誘發的瞳孔反應
  13. Pattern evoked pupillary response

    圖形瞳孔反應
  14. Firstly, we accurately locate the pupils of eyes in the face image according to the proportion relationship of face features and gray information. then we normalize the rotation, scale and grayscale of face image. we recognize human face using the method based on embedded hidden markov model ( ehmm ) that used the 2d - dct coefficients as the observation feature

    其次在對人臉檢測和識別技術研究中，詳細介紹了人臉檢測技術的研究現狀，在使用viola提出的基於haar - like特徵的人臉檢測方法進行自動人臉檢測之後，提出了一種基於人眼定位的有效人臉圖像歸一化演算法，可以準確檢測人眼瞳孔位置，並在此基礎上對人臉圖像作旋轉、尺度和灰度的歸一化校正，並且用基於2d - dct特徵提取和ehmm人臉識別方法作人臉的分類識別進行了試驗。
  15. For example, the characteristics of one ’ s iris are steady all one ’ s life, the capturing of iris image is non - invasive, and issues of iris possess the characters of living issues on account of the zooming process of pupils, which prevents counterfeiting

    虹膜識別技術具有以下特點:虹膜圖像的採集具有無侵犯性;瞳孔的縮放使虹膜組織具有活體組織的顯著特徵，可以有效的防止人工偽造等等。
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