static double Compare(string str1, string str2, HistCompMethods method)
{
Mat mat1 = new Mat(str1, ImreadModes.AnyColor);
Mat mat2 = new Mat(@str1, ImreadModes.AnyColor);
Mat mat3 = new Mat();
var value = Cv2.CompareHist(mat1, mat2, method);
Console.WriteLine(new FileInfo(str1).Name + "-" + new FileInfo(str2).Name + ":" + value);
return(value);
}
/// <summary>
/// compares two histograms stored in dense arrays
/// </summary>
/// <param name="h1">The first compared histogram</param>
/// <param name="h2">The second compared histogram of the same size as h1</param>
/// <param name="method">The comparison method</param>
/// <returns></returns>
public static double CompareHist(InputArray h1, InputArray h2, HistCompMethods method)
{
if (h1 == null)
throw new ArgumentNullException(nameof(h1));
if (h2 == null)
throw new ArgumentNullException(nameof(h2));
h1.ThrowIfDisposed();
h2.ThrowIfDisposed();
var ret = NativeMethods.imgproc_compareHist1(h1.CvPtr, h2.CvPtr, (int)method);
GC.KeepAlive(h1);
GC.KeepAlive(h2);
return ret;
}
private static void HistogarmToComparison(string path1, string path2, string path3)
{
using (Mat baseMat = new Mat(path1, ImreadModes.AnyColor | ImreadModes.AnyDepth))
using (Mat src1 = new Mat(path2, ImreadModes.AnyColor | ImreadModes.AnyDepth))
using (Mat src2 = new Mat(path3, ImreadModes.AnyColor | ImreadModes.AnyDepth))
{
//1:从BGR空间转换到HSV色彩空间
Mat baseHSV = new Mat();
Mat src1HSV = new Mat();
Mat src2HSV = new Mat();
Cv2.CvtColor(baseMat, baseHSV, ColorConversionCodes.BGR2HSV);
Cv2.CvtColor(src1, src1HSV, ColorConversionCodes.BGR2HSV);
Cv2.CvtColor(src2, src2HSV, ColorConversionCodes.BGR2HSV);
//Mat[] mats = new Mat[] { baseHSV, src1HSV, src2HSV };
Mat[] mats1 = Cv2.Split(baseHSV);
Mat[] mats2 = Cv2.Split(src1HSV);
Mat[] mats3 = Cv2.Split(src2HSV);
//计算直方图并归一化数据
int bin1 = 50; //灰度等级
int bin2 = 60; //灰度等级
int[] histSiz = { bin1, bin2 };
int[] channels = { 0, 1 }; //图像通道数
Rangef[] rangefs = new Rangef[] //梯度值范围
{
new Rangef(0, 180),
new Rangef(0, 256)
};
Mat Img1 = new Mat(baseMat.Size(), MatType.CV_32FC2);
Mat Img2 = new Mat(src1.Size(), MatType.CV_32FC2);
Mat Img3 = new Mat(src2.Size(), MatType.CV_32FC2);
HistCompMethods method = HistCompMethods.KLDiv;
Cv2.CalcHist(mats1, channels, new Mat(), Img1, 2, histSiz, rangefs, true, false);
Cv2.Normalize(Img1, Img1, 0, 1, NormTypes.MinMax, -1, null);
Cv2.CalcHist(mats2, channels, new Mat(), Img2, 2, histSiz, rangefs, true, false);
Cv2.Normalize(Img2, Img2, 0, 1, NormTypes.MinMax, -1, null);
Cv2.CalcHist(mats3, channels, new Mat(), Img3, 2, histSiz, rangefs, true, false);
Cv2.Normalize(Img3, Img3, 0, 1, NormTypes.MinMax, -1, null);
//比较直方图
double bcomb = Cv2.CompareHist(Img1, Img1, method);
double s1coms2 = Cv2.CompareHist(Img2, Img3, method);
double bcoms1 = Cv2.CompareHist(Img1, Img2, method);
double bcoms2 = Cv2.CompareHist(Img1, Img3, method);
Mat mats1Ands2 = new Mat();
src2.CopyTo(mats1Ands2);
Cv2.PutText(baseMat, bcomb.ToString(), new Point(30, 30), HersheyFonts.HersheyComplex, 1, new Scalar(0, 255, 0), 2, LineTypes.AntiAlias);
Cv2.PutText(src1, bcoms1.ToString(), new Point(30, 30), HersheyFonts.HersheyComplex, 1, new Scalar(0, 255, 0), 2, LineTypes.AntiAlias);
Cv2.PutText(src2, bcoms2.ToString(), new Point(30, 30), HersheyFonts.HersheyComplex, 1, new Scalar(0, 255, 0), 2, LineTypes.AntiAlias);
Cv2.PutText(mats1Ands2, s1coms2.ToString(), new Point(30, 30), HersheyFonts.HersheyComplex, 1, new Scalar(0, 255, 0), 2, LineTypes.AntiAlias);
using (new Window("Img1 :Img1", WindowMode.Normal, baseMat))
using (new Window("Img1 :Img2", WindowMode.Normal, src1))
using (new Window("Img1 :Img3", WindowMode.Normal, src2))
{
Cv2.WaitKey(0);
}
}
}
/// <summary>
/// 通过直方图比较
/// </summary>
/// <param name="sourceImage"></param>
/// <param name="targetImage"></param>
/// <param name="method"></param>
/// <returns></returns>
public static double CompareImageByHistogram(string sourceImage, string targetImage, HistCompMethods method = HistCompMethods.KLDiv)
{
using (Mat source = new Mat(sourceImage, ImreadModes.AnyColor | ImreadModes.AnyDepth))
using (Mat target = new Mat(targetImage, ImreadModes.AnyColor | ImreadModes.AnyDepth))
{
//1:从BGR空间转换到HSV色彩空间
Mat src1HSV = new Mat();
Mat src2HSV = new Mat();
Cv2.CvtColor(source, src1HSV, ColorConversionCodes.BGR2HSV);
Cv2.CvtColor(target, src2HSV, ColorConversionCodes.BGR2HSV);
//Mat[] mats = new Mat[] { baseHSV, src1HSV, src2HSV };
Mat[] mats2 = Cv2.Split(src1HSV);
Mat[] mats3 = Cv2.Split(src2HSV);
//计算直方图并归一化数据
int bin1 = 50; //灰度等级
int bin2 = 60; //灰度等级
int[] histSiz = { bin1, bin2 };
int[] channels = { 0, 1 }; //图像通道数
Rangef[] rangefs = new Rangef[] //梯度值范围
{
new Rangef(0, 180),
new Rangef(0, 256)
};
Mat Img2 = new Mat(source.Size(), MatType.CV_32FC2);
Mat Img3 = new Mat(target.Size(), MatType.CV_32FC2);
Cv2.CalcHist(mats2, channels, new Mat(), Img2, 2, histSiz, rangefs, true, false);
Cv2.Normalize(Img2, Img2, 0, 1, NormTypes.MinMax, -1, null);
Cv2.CalcHist(mats3, channels, new Mat(), Img3, 2, histSiz, rangefs, true, false);
Cv2.Normalize(Img3, Img3, 0, 1, NormTypes.MinMax, -1, null);
//比较直方图
double s1coms2 = Cv2.CompareHist(Img2, Img3, method);
return(s1coms2);
}
}