gray level distribution 中文意思是什麼

gray level distribution 解釋
灰度分佈
  • gray : 〈美國〉＝ grey。n. 1. 格雷〈姓氏，男子名〉。2. Thomas Gray 托馬斯格雷〈1716-1771，英國詩人，其名作為《墓畔哀歌》〉。
  • level : n 1 水平儀，水準儀；水準測量。2 水平線，水平面；水平狀態；平面，平地。3 水平，水準；水位；標準；...
  • distribution : n 1 分配，分發，配給；分配裝置[系統]；配給品；配給量；【經濟學】配給方法，配給過程；分紅；【法律...
  1. Secondly, in the computation of the gray level mapping, since cumulative distribution function ( cdf ) always sums up to 1, we can get the mapping by either adding from 0 or subtracting from 1

    這種方法基於這樣一種直觀的思想：在矩形窗口內，中心點的象素灰度很可能是該區域的灰度分佈的主要成分，同時允許一定比例象素的灰度級不在該范圍內。
  2. Considering the features of fingerprint. i. e. the local orientation, we employ a preprocessing algorithm based on double coordinates, not based on gray level distribution

    摘要本文提出了一種基於雙坐標系的指紋預處理方法，通過計算指紋圖的局部方向矩陣而非基於灰度分佈來求解灰度方向。
  3. Generally, it is difficult to extract and matching feature in high precision using classic registration method due to speckle noise and the complex distribution of gray - level in sar image

    由於sar圖像相干斑噪聲的影響和灰度分佈的復雜性，利用傳統方法作配準時一般面臨特徵提取和局部灰度匹配難度大、精度無法滿足需要的困難。
  4. Secondly, image enhancement technique based on linear filtering is adopted. a new image segmentation method by means of automatic multilevel threshold is given, which realizes partial multilevel threshold segmentation based on image region partition of gray - level position projection, removes the influence of uneven illuminance or uneven gray - level distribution on goal recognition, and resolves the problem of error segmentation caused by threshold step between adjacent regions by threshold transition. the method has well robustness

    在圖像處理時，採用基於線性濾波的圖像增強方法，並提出了一種新的自動多閾值圖像分割方法，該方法以基於灰度位置投影的圖像分區實現局部多閾值分割，克服了不均勻照明或不均勻灰度分佈對目標識別的影響，同時，通過閾值過渡很好地解決了相鄰區域閾值「階躍」引起的錯誤分割問題，具有很好的魯棒性。
  5. Image preprocessing includes transformation of image format, scaling of image size, smooth and noise - removing, gray level distribution normalization

    圖像的格式轉換、尺寸縮放、平滑去噪以及灰度的正規化組成了前期預處理過程。
  6. The use of moments for image analysis is straightforward if we consider a binary or gray level image segment as a two - dimensional density distribution function

    若把二值圖或灰度圖看作是二維密度分佈函數，就可把矩技術應用於圖像分析中。
  7. Slice - imagings interpolation can creat new slices. this dissertation presents a gray - level matching interpolation method based on object gray - level distribution probability knowlege, through which we can get more clear scene at the boundary between different matters than that in traditional interpolation methods. with respect to non - similar shapes or no superposition of corresponded contours on adjacent slices and concave contours, this dissertation introduces a method based on variant shape - based interpolation

    提出了一種基於對象灰度概率知識引導的對應點匹配的灰度插值演算法，解決了傳統灰度插值的不同種對象物質交界處的模糊問題；對于只關心物體邊界和重構目標形態信息的情況，介紹了當相鄰斷層上的對應輪廓線的形狀不相似，位置差異大時，利用改進的輪廓加權平均演算法進行輪廓形變插值的方法。
  8. The thesis has implemented adaptive background model to detect moving objects. we propose to operate in the hue - saturation - value ( hsv ) color space, instead of the traditional rgb space, and show that it provides a better use of the color information, and naturally incorporates gray - level only processing. at each instant, the system constructs three gauss distribution for a pixel and maintains an updated background model, and a list of occluding regions that can then be tracked

    此外，自適應的背景模板，採用圖像上的每個象素點的h 、 s 、 v的分佈為高斯分佈建立的三維模型，該模型與實際情況比較接近；在背景、前景的判斷上，充分利用了顏色信息；而且在更新演算法上也考慮了學習率的問題。
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