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package opencvtutorial;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.scijava.nativelib.NativeLoader;
class CalcHist {
public void run(String[] args) {
// ! [Load image]
String filename = args.length > 0 ? args[0] : "data/lena.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
// ! [Load image]
// ! [Separate the image in 3 places ( B, G and R )]
List<Mat> bgrPlanes = new ArrayList<>();
Core.split(src, bgrPlanes);
// ! [Separate the image in 3 places ( B, G and R )]
// ! [Establish the number of bins]
int histSize = 256;
// ! [Establish the number of bins]
// ! [Set the ranges ( for B,G,R) )]
float[] range = { 0, 256 }; // the upper boundary is exclusive
MatOfFloat histRange = new MatOfFloat(range);
// ! [Set the ranges ( for B,G,R) )]
// ! [Set histogram param]
boolean accumulate = false;
// ! [Set histogram param]
// ! [Compute the histograms]
Mat bHist = new Mat(), gHist = new Mat(), rHist = new Mat();
Imgproc.calcHist(bgrPlanes, new MatOfInt(0), new Mat(), bHist, new MatOfInt(histSize), histRange, accumulate);
Imgproc.calcHist(bgrPlanes, new MatOfInt(1), new Mat(), gHist, new MatOfInt(histSize), histRange, accumulate);
Imgproc.calcHist(bgrPlanes, new MatOfInt(2), new Mat(), rHist, new MatOfInt(histSize), histRange, accumulate);
// ! [Compute the histograms]
// ! [Draw the histograms for B, G and R]
int histW = 512, histH = 400;
int binW = (int) Math.round((double) histW / histSize);
Mat histImage = new Mat(histH, histW, CvType.CV_8UC3, new Scalar(0, 0, 0));
// ! [Draw the histograms for B, G and R]
// ! [Normalize the result to ( 0, histImage.rows )]
Core.normalize(bHist, bHist, 0, histImage.rows(), Core.NORM_MINMAX);
Core.normalize(gHist, gHist, 0, histImage.rows(), Core.NORM_MINMAX);
Core.normalize(rHist, rHist, 0, histImage.rows(), Core.NORM_MINMAX);
// ! [Normalize the result to ( 0, histImage.rows )]
// ! [Draw for each channel]
float[] bHistData = new float[(int) (bHist.total() * bHist.channels())];
bHist.get(0, 0, bHistData);
float[] gHistData = new float[(int) (gHist.total() * gHist.channels())];
gHist.get(0, 0, gHistData);
float[] rHistData = new float[(int) (rHist.total() * rHist.channels())];
rHist.get(0, 0, rHistData);
for (int i = 1; i < histSize; i++) {
Imgproc.line(histImage, new Point(binW * (i - 1), histH - Math.round(bHistData[i - 1])),
new Point(binW * (i), histH - Math.round(bHistData[i])), new Scalar(255, 0, 0), 2);
Imgproc.line(histImage, new Point(binW * (i - 1), histH - Math.round(gHistData[i - 1])),
new Point(binW * (i), histH - Math.round(gHistData[i])), new Scalar(0, 255, 0), 2);
Imgproc.line(histImage, new Point(binW * (i - 1), histH - Math.round(rHistData[i - 1])),
new Point(binW * (i), histH - Math.round(rHistData[i])), new Scalar(0, 0, 255), 2);
}
// ! [Draw for each channel]
// ! [Display]
HighGui.imshow("Source image", src);
HighGui.imshow("calcHist Demo", histImage);
HighGui.waitKey(0);
// ! [Display]
System.exit(0);
}
}
public class CalcHistDemo {
static {
try {
// Load the native OpenCV library
NativeLoader.loadLibrary(Core.NATIVE_LIBRARY_NAME);
} catch (Exception e) {
}
}
public static void main(String[] args) {
new CalcHist().run(args);
}
}