histogram equalization 中文意思是什麼

histogram equalization 解釋
直方圖均衡化 等頻度化
  • histogram : n. 【統計學】（次數）矩形圖，直方圖。
  • equalization : n. 相等；均等；平均。 equalization of landownership 平均地權。
  1. In the technique of pre - processing on night vision images, such algorithms as image registration, non - uniformity correction, image enhancement are mainly studied and realized. an innovatory algorithm of full - scale non - uniformity correction on ir images is presented and an arithmetical progression histogram equalization algorithm in the enhancement of image is validated and developed in this dissertation

    在夜視圖像預處理技術方面，主要研究實現了圖像配準、非均勻校正、圖像增強等演算法，並創新性地提出了紅外圖像基於全局的非均勻校正演算法，驗證並發展了等差數列直方圖均衡圖像增強方法。
  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. Secondly, on the adjustment of color, the processing from rgb color space to hsi color space can strengthen the information structure, and reduce the loss of color information. then, in hsi space, the method based on adaptive histogram equalization ( ahe ) is introduced to adjust the saturation and intensity. and then, the contrast is regulated further

    第二，在色彩調整方面，將圖像從rgb空間轉換到hsi空間中進行處理，這樣使得圖像的信息結構更加緊湊，並減少了顏色信息的丟失;在hsi空間中，採用自適應直方圖均衡（ ahe ）方法實現了圖像飽和度和亮度的調整，並進一步修正了圖像的對比度。
  4. The application of changed histogram equalization in image enhancement

    變換的直方圖均衡演算法在圖像增強中的應用
  5. Experimental results demonstrate this method is better than histogram equalization under this circumstance

    實驗結果表明，與直方圖均衡方法相比，此方法效果較佳。
  6. In the facet of pre - transact of ir image, the traditional smooth spatial filter and histogram equalization are analyzed and intruded first

    論文在紅外圖像預處理方面，首先分析了傳統的空間濾波技術，並著重介紹了平滑空間濾波器。
  7. The traditional image enhancement approaches include gray - scale transformation, histogram modification, histogram equalization, image smoothing and wiener filtration

    傳統的圖像增強方法有灰度變換、直方圖修正、直方圖均衡、圖像平滑和維納濾波。
  8. There are several effective methods which are used to improve image contrast, such as piecewise linear stretch, histogram equalization and histogram normalization and so on

    採用圖像對比度增強的方法改善影像灰度反差。主要的對比度增強方法有分段線性增強、直方圖均衡化和直方圖正態化等。
  9. In addition, we proposed an adaptive histogram equalization method with variant window size over each pixel. this method produces more appropriate window size for each pixel than others

    與已有的方法相比，由該方法生成的窗口大小能較靈活地適應了圖像中不同區域的灰度分佈，取得了較好的結果。
  10. In this thesis, the preprocessing work includes histogram equalization and gray normalization. this preprocessing improves image quality, and eliminates the effects of illumination difference on the images

    本論文在預處理階段通過對灰度直方圖修正、灰度歸一等工作改善了原圖像的質量，使光照不均勻對圖像識別的影響降低。
  11. In this paper, firstly the micro - areas image acquisition is introduced. secondly, in order to enhance the useful characteristic, the image pre - processing is taken by histogram equalization and modified median filter

    論文首先實現了微區圖像的採集，為了增強圖像的有用特徵，採用灰度級修正和噪聲抑制的方法對圖像進行了預處理。
  12. Besides, several contrast enhancing approaches were compared in the thesis, including histogram equalization, homo - filters, and wavelet transform. an algorithm based on the polygon approximation is developed

    本論文對比了現有的一些圖像對比度提高的方法，包括直方圖均衡化、同態濾波器和小波同態濾波法在水下圖像對比度增強中應用的效果。
  13. This paper puts emphasis on image processing which makes use of histogram equalization method for image enhancement, which making engineer effectively analyze and making certain flaw, abrasion, bend of wall of a well

    文中著重介紹了圖像處理部分，使用直方圖均衡化等方法對井下圖像進行圖像增強處理，使工程人員能夠更有效的分析和確定井壁裂紋、磨損、彎曲等狀況。
  14. This article introduces gray image processing technology. firstly, in order to eliminate noise, optimize image and get precise edge feature, a series of preparations can be done to fracture image such as histogram equalization, binarization, edge enhancement, and so on

    本文採用灰度圖像處理技術，首先對疲勞斷口圖像進行直方圖均衡化、二值化、邊緣增強等預處理來消除噪聲，優化圖像，以得到精確的邊緣特徵。
  15. By adjusting the gray value of pixels after histogram equalization, this thesis puts forward a method called histogram equalization of preserving gray scales. it enriches the gray levels and dispels the infection of the gray level amalgamation to some extent

    通過調整直方圖均衡化后像素的灰度值，給出了保留灰度級的直方圖均衡化方法，豐富了圖像的灰度層次，一定程度上消除了灰度級合併對圖像帶來的影響。
  16. It increases defect ’ s display definition through infrared image ’ s histogram equalization and computing maximum contrast image, amplitude image and phase image of infrared image sequences, consequently it increases the capability of defect detection

    通過紅外圖像的直方圖均衡化，計算紅外圖像序列的最大對比度圖像、幅值圖像和相位圖像，提高了缺陷的顯示清晰度，從而提高了缺陷檢測的能力。
  17. In the process of gathering image, it must produce noise, otherwise, we focus on the image character that we are interested in when we do it ; so we should use the technology of histogram equalization of image, windows conversion, removing noise by smoothness and filtering to enhance the image

    將人工檢測得到的圖像進行圖像預處理，將32位真彩色圖像轉化成灰度圖像。降低了數據童，加快了圖像處理速度。應用圖像的直方圖均衡、窗口變換、平滑去噪、濾波等處理技術對圖像進行去噪和增強，得到本研究所需要的圖像特徵。
  18. Two methods, histogram equalization ( he ) and local area histogram equalization ( lahe ), which are in common usage today, are not satisfactory if the image contains small, relatively uniform regions where exists objects or other details of interest

    當我們感興趣的信息包含在圖像中相對較小且灰度分佈較均勻區域時，兩種廣泛使用的直方圖修正方法即直方圖均衡（ he ）和局部直方圖均衡（ lahe ）都不能增強這一部分信息。
  19. 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。
  20. Abstract aiming at the darkness and low contrast of low illumination image, a low illumination image enhancement method, combining improved histogram equalization and improved local contrast enhancement, was designed, which satisfied the needs of adjusting dynamic range and enhancing local contrast

    摘要針對低照度圖像暗且對比度低的特點，提出了一種將改進的直方圖均衡化方法與改進的局部對比度增強方法相結合的低照度圖像處理方法，滿足了圖像增強的兩種要求：調節動態范圍，增強局部對比度。
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