直方圖等化(Histogram Equalization)為一種使用統計方法的影像處理程式設計,它的功能為將統計直方圖的色彩分布平均的打散在直方圖裡,也就是說,讓一張圖的直方圖分布均勻化,同樣的也是使用到LUT(Look-up Table)的方法



而在設計直方圖等化不可或缺的就是需要先知道統計學的機率密度函數(Probability Density Function,PDF)以及累積分配函數(Cumlative Distribution Function,CDF)相關的基本概念,在這邊會簡單的說明機率密度函數及累積分配函數的概念還有直方圖等化的程式設計實作,而OpenCV也提供了直接使用直方圖等化的函式,cvEqualizeHist(),下面就簡單的製作直方圖等化的程式設計

-Histogram equalization (Histogram Equalization) for a use of statistical methods of image processing programming, its function as a statistical histogram of color distribution of the average scatter in the histogram, the words, let the distribution of a histogram graph homogenization, the same also use the LUT (Look-up Table) method



In the design of histogram equalization is an essential need to know the statistical probability density function (Probability Density Function, PDF) and cumulative distribution function (Cumlative Distribution Function, CDF) related to the basic concepts, in the side would be a simple shows probability density function and cumulative distribution function, the concept of histogram equalization programs are designed to implement, while OpenCV also provides direct access to the histogram equalization function, cvEqualizeHist (), Here s the simple production of histogram equalization programming