直方图均衡算法(Histogram Equalized)

Lab1: Histogram Equalization

1. 实验环境(C++)

• 操作系统版本 MacOS Catalina 10.15
• OpenCV4.0 (imgcodecs | core | highgui | imgproc)
• Cmake-3.14
• Clang-1100.0.33.8

2. 实验步骤

1. Calculate the histogram H for src

2. Normalize the histogram.

    std::array<double, 256> calNormalizedHist(cv::Mat& source) {
        std::array<double, 256> acc{0};
        // Calculate the histogram H for src
        for(int i = 0; i < source.rows; i++)
            for (int j = 0; j < source.cols; j++)
                acc[ source.ptr<uchar>(i)[j]] ++;
        // Normalize the histogram.
        for(int i = 0; i < acc.size(); i++)
            acc[i] /= source.rows * source.cols;
        return acc;
    }

3. Compute the integral of the histogram: H'

4. Transform the image using H′ as a look-up table: \[

   原文地址：https://www.cnblogs.com/xiconxi/p/11770899.html