brightness of color image 中文意思是什麼

brightness of color image 解釋
色象亮度
  • brightness : 白度
  • of : OF ＝Old French 古法語。
  • color : 〈美國〉＝〈英國〉 colour。n 1 顏色，色彩；色調；著色；色素，顏料，染料；〈pl 〉 圖畫顏料。2 臉色...
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  1. 0 be used at the task. a large of image knowledge be studied. heft of color required be added to a value of brightness so transform 2d effect to 3d effect and form a 3d mapping

    提取圖像顏色分量，將光源貢獻的光亮度值加在相應的圖像各顏色分量上，實現了圖像從二維平面效果向三維立體效果的轉變，並最終形成了真實感貼圖。
  2. The simulation result has indicated that using the method of two - value filter can solve the question perfectly, and the question is the edge discontinuity of traditional image classify base on region ; the image fusion which make use of edge gradually change is sententious and efficient ; the color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system

    模擬結果表明，利用二值濾波處理較好地解決了傳統的基於區域的圖象分類中的邊緣不連續的問題；利用邊緣漸變方式實現的圖像融合簡潔有效；由灰度統計直方圖均衡所實現的彩色增強處理降低了虛擬照相系統對環境照度的要求。
  3. Provide world - class color correction software, easy adjustment of color, brightness, contrast, gamma, sharpness, etc. provide densitometer to realize single digital channel index prints, image editing, cropping, etc

    配有世界一流的校色軟體，由熒屏直接調整色彩亮度反差gamma清晰度等，可隨意製作黑白仿舊等特殊效果照片。
  4. This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic

    本文詳細介紹了薄形組合件自適應識別系統；闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法，有效地解決了識別區域的定位問題。針對裝配零件（主要是墊片）薄、小導致圖像信息少、識別難度大，以及材質不一導致採集到的組合件圖像亮度波動等問題，提出了使用最佳閾值迭代法和使用種子填充的圖像串列分割技術，自適應地找出最佳閡值，使墊片和背景分離，從而提取墊片數目信息。
  5. There are three steps of the concrete process of the algorithm : initial localization, separating image and confirmation. firstly, single gaussian model is used to imitate skin - color distribution, meanwhile, skin probability images which is smoothly disposed using middle wave is calculated to attain the initial localization. secondly, in order to separate the latent face region, it uses multimodal information that includes the region growing 、 the hue and brightness 、 skin probability images etc. at last, it adopts the criterion of morphology analysis and face characteristic draw to confirm the latent region

    演算法的具體過程主要分為三個階段:人臉初定位、人臉分割和人臉確認，首先採用高斯模型來模擬膚色分佈並構造出膚色概率圖進行人臉的初定位，並對膚色概率圖採用中值濾波進行平滑處理，接著利用區域生長準則和融合色度、亮度以及膚色概率圖等多源信息相結合的方法對圖像進行分割，以達到分割出潛在臉區的目的，最後採用人臉整體形狀的確認準則和人臉特徵提取的確認準則相結合的方法對潛在臉區的最終確認。
  6. To change the brightness of an image, you need to change the value of each color channel by an equal amount

    要改變圖象的顏色，需要用相等的量改變每一個顏色通道。
  7. Aimed at static image retrieval based on color, a multimedia image database which included three layers was designed and the search algorithm of the correlation and polymerization histogram was used in the article. to show color characteristic of image, the method of the hsb ( hue, saturation, brightness ) color space, which is suitable to the visual characteristic of human, is utilized. taking advance of human ' s feeling to color, it quantifies color sector with unequal interval, and get characteristic vector

    針對基於顏色的靜態圖像檢索，本文設計了一個三層的多媒體圖像數據庫，選用基於相關聚合直方圖的演算法，採用符合人類視覺特徵的hsb顏色空間來表示圖像的顏色特徵，利用人對顏色的感知來對顏色分量進行非等間隔的量化並形成特徵矢量，用距離度量函數進行圖像的相似性匹配。
  8. A new fisheye image edge extraction algorithm was proposed based on its round valid area ; the overlap area of images to be mosaicked was determinated according to the minimum brightness difference in this area, and thus the fisheye images mosaics were accomplished after images fusion ; finally, the virtual navigation was accomplished through color information extraction form fisheye images directly

    摘要根據魚眼圖像的有效區域為圓形，提出了掃描線逼近的輪廓提取演算法，基於圖像重疊部分亮度差最小的原理，確定了重疊區域，通過對重疊區域進行融合處理實現了魚眼圖像的縫合，最後直接從魚眼圖像上提取顏色信息，重新采樣圖像數據，實現了基於魚眼圖像的虛擬漫遊。
  9. When processing the shadow of foreground moving objects, in order to overcome the influence of illumination change of part or integrity in the image, the color model of brightness distortion and chrominance distortion is established to distinguish shaded background, highlight background, original background and foreground objects, and then select the threshold automatically to classify the pixel points in the image

    在處理前景目標的陰影問題時，為了克服了圖像局部或整體的光照變化的影響，通過建立亮度變化和色度變化的彩色模型，來區分陰影背景、高亮背景、普通背景及前景目標，然後自動選擇閾值對圖像的像素點進行分類。
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