亮度差異 的英文怎麼說

中文拼音 [liàngdùchāyì]
亮度差異 英文
luminance difference
  • 亮 : Ⅰ形容詞1 （光線強; 明亮） bright; light 2 （聲音強; 響亮） loud and clear; resounding 3 （開朗; ...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 異 : 形容詞1 （有分別; 不相同） different 2 （奇異; 特別） strange; unusual; extraordinary 3 （另外的;...
  1. In chapter five, the research work focus on color gamut transform correction in panel display. a method of color gamut transform correction which introduces the concept of virtual gamut space is presented to solve the problem of luminance and chromic disuniformity which arises from the differentia of chromic and drive characteristics of each module or pix on the same display panel. and the high quality of image displayed on the panel is ensured

    提出了克服同一種平板顯示屏由於各個顯示模塊（顯示象素）的色度空間特性和中國科學院長春光學精密機械與物理研究所博十學位論文基十擬合逼近理論的平板圖像顯示技術研究基色驅動顯示特性的差異而造成的平板顯示屏色度和亮度分佈不均的有效方法，解決了平板顯示屏的全屏幕亮度、色度一致化的問題，保證了高質量視頻圖像的顯示。
  2. There is plenty of stitching algorithm by far, but they have some common disadvantages such as bad precision, not able to overcome some disturbing factors such as the difference of lighting between pictures, rotary error happening when shooting

    目前雖已有多種圖像拼接演算法，但普遍存在一些缺點，如拼接精度不高，不能克服拍攝時的亮度差異、旋轉誤差等造成的影響。
  3. It adopted a special matching algorithm that is statistics of similarity of texture. this matching algorithm adopts crisscross characteristic region. by analyzing information of texture in characteristic region it can overcome disturbing factors such as the difference of lighting between pictures, definition, variety of curtaining relationship, and rotary error

    它採用了一種特殊的匹配誤差演算法? ?紋理相似性信息統計法，這種演算法採用十字型特徵區域，通過分析特徵區域中的紋理信息從而有效地排除了圖像亮度差異、清晰度、遮擋關系的變化、旋轉誤差對搜索實際匹配區域的干擾。
  4. But the same image often has different look on the different device ( such as file and crt ) ? specially as pacs system get widely usage now, doctors begin to use softcopy device ( color crt, grayscale crt and so on ) to view more images instead of film

    醫學影像作為診斷依據，對圖像重現效果有苛刻要求。 pacs系統中採用軟拷貝設備（彩色crt 、高亮度crt ）代替膠片，由於設備個體差異和可以軟體動態調整圖像，帶來重現效果不一致。
  5. Beside spherical mosaic technique, the method of sampling source image to extract information on sphere is given, the difference of luminance and color between images due camera parameter change while image captured is corrected to remove visible boundary on panorama

    此外，本文還給出了從原始圖像中采樣生成球面全景圖的方法，該方法可以糾正圖像拍攝時相機參數變化導致圖像間整體亮度的差異，使生成的球面全景圖沒有明顯的拼接痕跡。
  6. This method was divided into 4 steps : wiping out random noise by mean filter, reducing gaussian noise by gaussian filter, balancing brightness difference between stereo image pair through histogram equalization, and enhancing image edges and details by laplace sharpness

    此方法分為4個階段：用均值濾波去除隨機噪聲；用高斯濾波去除高斯噪聲；用直方圖均衡化法平衡立體圖對間的亮度差異；用拉普拉斯銳化增強圖像的邊緣和細節。
  7. And then in - depth researches are made in vehicle recognition features extraction and recognition method. in addition, a vehicle target recognition method with neural network is tested. the main results are as follows : 1

    主要內容如下: 1 .本文所處理的數據源隨著拍攝時間的變化視頻圖像的亮度有很大的差異，而且拍攝背景比較復雜，同一車輛目標在不同角度和姿態下其光照與紋理也有較大的變化。
  8. Its brightness show slight variation in intensity, though its general shape remain unchanged

    雖然它的形狀沒有改變，但其光亮強度有微小差異。
  9. Its brightness showed slight variations in intensity, though its general shape remained unchanged

    雖然它的形狀沒有改變，但其光亮強度有微小差異。
  10. 2. a series of algorithm and program for tangent correction, radiant correction have been developed, the tangent distortion and the difference between limb radiance and sub - airplane point ( nadir ) radiance was corrected well

    對圖象進行了正切校正，提出了一種基於直方圖匹配的邊緣輻射校正演算法，改正了圖象邊緣列與中心列亮度的差異。
  11. In the stage of image pretreatment, we make an improvement of log arithmetic, and present a four - step image processing method. it can both eliminate the noise and balance the brightness difference, and get a high quality images finally

    在圖像的預處理階段，本文對log濾波演算法進行了改進，使用了一種四階段的預處理方法，有效地消除了圖像的噪聲、平衡了立體圖對間的亮度差異。
  12. But when there are several kinds of difference between the matching image model and the matched image, such as in lightness, zoom or in angle, the traditional matching algorithms would not be able to obtain satisfying matching results

    但當匹配模板與待匹配圖像之間存在亮度、縮放及角度旋轉等差異時，利用傳統的匹配演算法所得到的匹配結果不盡如人意。
  13. The results of the experiments show that, when there are different kinds of differences in lightness, zoom and angle between matching model and matched image, this kind of optimization algorithm based on evolutionary computation can solve the problem effectively

    實驗結果證明，當待匹配圖像和匹配模板之間存在亮度、大小縮放和旋轉角度差異的情況下，這種基於進化計算的圖像匹配演算法能夠進行正確匹配。
  14. Experimental results show that this four step pretreatment method can eliminate image noise and reduce brightness difference effectively

    實驗結果表明，此方法可以有效地去除圖像的噪聲，平衡立體圖對間的亮度差異。
分享友人
分享到 Line

分享到臉書