Question

我正在尝试在MATLAB中将此特定命令实现为opencv。我正在Linux Ubuntu中工作。您可以帮我找出opencv中的代码。

out_vector = HIST（G_vector，0：17：255）; G_vector是一个大小为1X100的数组，表示图像的1个分量。

我正在使用以下代码

vector<Mat> rgb_planes;
       split(image,rgb_planes);
       int histSize = 255;

         /// Set the ranges ( for R,G,B) )
         float range[] = { 0,17, 255 } ;
         const float* histRange = { range };

         bool uniform = true; bool accumulate = false;

         Mat r_hist, g_hist, b_hist,g_hist1;

         /// Compute the histograms:
         calcHist( &rgb_planes[0], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate );
         calcHist( &rgb_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate );
         calcHist( &rgb_planes[2], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate );

         // Draw the histograms for R, G and B
         int hist_w = 400; int hist_h = 400;
         int bin_w = cvRound( (double) hist_w/histSize );

         Mat histImage( hist_w, hist_h, CV_8UC3, Scalar( 0,0,0) );

         /// Normalize the result to [ 0, histImage.rows ]
         normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
         normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
         normalize(b_hist, b_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );

您能否建议我应该在哪里进行更改

Answer 1

histSize控制每个维度中的分档数量。如果您想在这些一维直方图中使用16个分档，请使用：

int histSize[] = { 16 };

或者我猜只是int histSize = 16;会工作的。

将bin边界设置为0到255，如下所示：

  float intensity_range = { 0, 256 }; //upper bound is exclusive
  const float * histRange[] = { intensity_range };

OpenCV的calcHist提供了一种可配置性，很少有人需要。 Check out the method description and example code here

Opencv中的直方图

1 个答案: