public void ProcessImageTest() { double[,] diag = Matrix.Magic(5); Bitmap input; new MatrixToImage().Convert(diag, out input); // Create a new Gabor filter KirschEdgeDetector filter = new KirschEdgeDetector(); // Apply the filter Bitmap output = filter.Apply(input); double[,] actual; new ImageToMatrix().Convert(output, out actual); // string str = actual.ToString(Accord.Math.Formats.CSharpMatrixFormatProvider.InvariantCulture); double[,] expected = { { 1, 1, 1, 1, 1 }, { 1, 0.458823529411765, 0.349019607843137, 0.698039215686274, 1 }, { 1, 0.309803921568627, 0.658823529411765, 0.286274509803922, 1 }, { 1, 0.619607843137255, 0.403921568627451, 0.890196078431373, 1 }, { 1, 1, 1, 1, 0.968627450980392 } }; Assert.IsTrue(expected.IsEqual(actual, 1e-6)); }
private void SetFilter() { ImageType = ImageTypes.Rgb24bpp; Af.KirschEdgeDetector newFilter = new Af.KirschEdgeDetector(); imageFilter = newFilter; }
public void ApplyTest1() { Bitmap image = Properties.Resources.lena512; KirschEdgeDetector kirsch = new KirschEdgeDetector(); Bitmap edges = kirsch.Apply(image); // ImageBox.Show(edges); Assert.IsNotNull(edges); }