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: $$