public void TestSobelFilter5()
{
//arrange
EdgeDetectionFilter sobel = new SobelFilter();
GreyImage image = new GreyImage(5, 4);
image.Pixels[0, 0].Color.Data = 50;
image.Pixels[0, 1].Color.Data = 125;
image.Pixels[0, 2].Color.Data = 22;
image.Pixels[0, 3].Color.Data = 11;
image.Pixels[0, 4].Color.Data = 104;
image.Pixels[1, 0].Color.Data = 12;
image.Pixels[1, 1].Color.Data = 17;
image.Pixels[1, 2].Color.Data = 187;
image.Pixels[1, 3].Color.Data = 0;
image.Pixels[1, 4].Color.Data = 15;
image.Pixels[2, 0].Color.Data = 201;
image.Pixels[2, 1].Color.Data = 100;
image.Pixels[2, 2].Color.Data = 45;
image.Pixels[2, 3].Color.Data = 91;
image.Pixels[2, 4].Color.Data = 17;
image.Pixels[3, 0].Color.Data = 100;
image.Pixels[3, 1].Color.Data = 15;
image.Pixels[3, 2].Color.Data = 18;
image.Pixels[3, 3].Color.Data = 205;
image.Pixels[3, 4].Color.Data = 194;
GreyImage patternImage = new GreyImage(5, 4);
patternImage.Pixels[0, 0].Color.Data = 50;
patternImage.Pixels[0, 1].Color.Data = 125;
patternImage.Pixels[0, 2].Color.Data = 22;
patternImage.Pixels[0, 3].Color.Data = 11;
patternImage.Pixels[0, 4].Color.Data = 104;
patternImage.Pixels[1, 0].Color.Data = 12;
patternImage.Pixels[1, 1].Color.Data = (byte) ColorBase.MIN_COLOR_VALUE;
patternImage.Pixels[1, 2].Color.Data = (byte)ColorBase.MIN_COLOR_VALUE;
patternImage.Pixels[1, 3].Color.Data = (byte)ColorBase.MIN_COLOR_VALUE;
patternImage.Pixels[1, 1].BorderType = DigitalImageProcessingLib.BorderType.Border.STRONG;
patternImage.Pixels[1, 2].BorderType = DigitalImageProcessingLib.BorderType.Border.STRONG;
patternImage.Pixels[1, 3].BorderType = DigitalImageProcessingLib.BorderType.Border.STRONG;
patternImage.Pixels[1, 4].Color.Data = 15;
patternImage.Pixels[2, 0].Color.Data = 201;
patternImage.Pixels[2, 1].Color.Data = (byte)ColorBase.MIN_COLOR_VALUE;
patternImage.Pixels[2, 2].Color.Data = (byte)ColorBase.MIN_COLOR_VALUE;
patternImage.Pixels[2, 3].Color.Data = (byte)ColorBase.MIN_COLOR_VALUE;
patternImage.Pixels[2, 1].BorderType = DigitalImageProcessingLib.BorderType.Border.STRONG;
patternImage.Pixels[2, 2].BorderType = DigitalImageProcessingLib.BorderType.Border.STRONG;
patternImage.Pixels[2, 3].BorderType = DigitalImageProcessingLib.BorderType.Border.STRONG;
patternImage.Pixels[2, 4].Color.Data = 17;
patternImage.Pixels[3, 0].Color.Data = 100;
patternImage.Pixels[3, 1].Color.Data = 15;
patternImage.Pixels[3, 2].Color.Data = 18;
patternImage.Pixels[3, 3].Color.Data = 205;
patternImage.Pixels[3, 4].Color.Data = 194;
patternImage.Pixels[1, 1].Gradient.Strength = 207;
patternImage.Pixels[1, 1].Gradient.Angle = -36;
patternImage.Pixels[1, 2].Gradient.Strength = 186;
patternImage.Pixels[1, 2].Gradient.Angle = 32;
patternImage.Pixels[1, 3].Gradient.Strength = 305;
patternImage.Pixels[1, 3].Gradient.Angle = 18;
patternImage.Pixels[2, 1].Gradient.Strength = 234;
patternImage.Pixels[2, 1].Gradient.Angle = -21;
patternImage.Pixels[2, 2].Gradient.Strength = 205;
patternImage.Pixels[2, 2].Gradient.Angle = 41;
patternImage.Pixels[2, 3].Gradient.Strength = 423;
patternImage.Pixels[2, 3].Gradient.Angle = 82;
//act
image = sobel.Apply(image, 4);
//assert
Assert.IsTrue(image.IsEqual(patternImage));
}
public void TestGaussFilter1()
{
//arrange
GreyImage image = new GreyImage(5, 5);
image.Pixels[0, 0].Color.Data = 50;
image.Pixels[0, 1].Color.Data = 125;
image.Pixels[0, 2].Color.Data = 22;
image.Pixels[0, 3].Color.Data = 11;
image.Pixels[0, 4].Color.Data = 104;
image.Pixels[1, 0].Color.Data = 12;
image.Pixels[1, 1].Color.Data = 17;
image.Pixels[1, 2].Color.Data = 187;
image.Pixels[1, 3].Color.Data = 0;
image.Pixels[1, 4].Color.Data = 15;
image.Pixels[2, 0].Color.Data = 201;
image.Pixels[2, 1].Color.Data = 100;
image.Pixels[2, 2].Color.Data = 45;
image.Pixels[2, 3].Color.Data = 91;
image.Pixels[2, 4].Color.Data = 17;
image.Pixels[3, 0].Color.Data = 100;
image.Pixels[3, 1].Color.Data = 15;
image.Pixels[3, 2].Color.Data = 18;
image.Pixels[3, 3].Color.Data = 205;
image.Pixels[3, 4].Color.Data = 194;
image.Pixels[4, 0].Color.Data = 0;
image.Pixels[4, 1].Color.Data = 134;
image.Pixels[4, 2].Color.Data = 45;
image.Pixels[4, 3].Color.Data = 94;
image.Pixels[4, 4].Color.Data = 112;
GreyImage patternImage = new GreyImage(5, 5);
patternImage.Pixels[0, 0].Color.Data = 50;
patternImage.Pixels[0, 1].Color.Data = 125;
patternImage.Pixels[0, 2].Color.Data = 22;
patternImage.Pixels[0, 3].Color.Data = 11;
patternImage.Pixels[0, 4].Color.Data = 104;
patternImage.Pixels[1, 0].Color.Data = 12;
patternImage.Pixels[1, 1].Color.Data = 17;
patternImage.Pixels[1, 2].Color.Data = 187;
patternImage.Pixels[1, 3].Color.Data = 0;
patternImage.Pixels[1, 4].Color.Data = 15;
patternImage.Pixels[2, 0].Color.Data = 201;
patternImage.Pixels[2, 1].Color.Data = 100;
patternImage.Pixels[2, 2].Color.Data = 77; // changed elem
patternImage.Pixels[2, 3].Color.Data = 91;
patternImage.Pixels[2, 4].Color.Data = 17;
patternImage.Pixels[3, 0].Color.Data = 100;
patternImage.Pixels[3, 1].Color.Data = 15;
patternImage.Pixels[3, 2].Color.Data = 18;
patternImage.Pixels[3, 3].Color.Data = 205;
patternImage.Pixels[3, 4].Color.Data = 194;
patternImage.Pixels[4, 0].Color.Data = 0;
patternImage.Pixels[4, 1].Color.Data = 134;
patternImage.Pixels[4, 2].Color.Data = 45;
patternImage.Pixels[4, 3].Color.Data = 94;
patternImage.Pixels[4, 4].Color.Data = 112;
SmoothingFilter gaussFilter = new GaussFilter(5, 1.4);
//act
gaussFilter.Apply(image);
//assert
Assert.IsTrue(image.IsEqual(patternImage));
}
public void TestSobelFilter4()
{
//arrange
EdgeDetectionFilter sobel = new SobelFilter();
GreyImage image = new GreyImage(3, 3);
image.Pixels[0, 0].Color.Data = 50;
image.Pixels[0, 1].Color.Data = 125;
image.Pixels[0, 2].Color.Data = 22;
image.Pixels[1, 0].Color.Data = 12;
image.Pixels[1, 1].Color.Data = 17;
image.Pixels[1, 2].Color.Data = 187;
image.Pixels[2, 0].Color.Data = 201;
image.Pixels[2, 1].Color.Data = 100;
image.Pixels[2, 2].Color.Data = 45;
GreyImage patternImage = new GreyImage(3, 3);
patternImage.Pixels[0, 0].Color.Data = 50;
patternImage.Pixels[0, 1].Color.Data = 125;
patternImage.Pixels[0, 2].Color.Data = 22;
patternImage.Pixels[1, 0].Color.Data = 12;
patternImage.Pixels[1, 1].Color.Data = (byte) ColorBase.MIN_COLOR_VALUE;
patternImage.Pixels[1, 1].BorderType = DigitalImageProcessingLib.BorderType.Border.STRONG;
patternImage.Pixels[1, 2].Color.Data = 187;
patternImage.Pixels[2, 0].Color.Data = 201;
patternImage.Pixels[2, 1].Color.Data = 100;
patternImage.Pixels[2, 2].Color.Data = 45;
patternImage.Pixels[1, 1].Gradient.Angle = -36;
patternImage.Pixels[1, 1].Gradient.Strength = 207;
//act
sobel.Apply(image);
//assert
Assert.IsTrue(image.IsEqual(patternImage));
}
public void TestGaussFilter5()
{
//arrange
GreyImage image = new GreyImage(10, 7);
image.Pixels[0, 0].Color.Data = 50;
image.Pixels[0, 1].Color.Data = 125;
image.Pixels[0, 2].Color.Data = 22;
image.Pixels[0, 3].Color.Data = 110;
image.Pixels[0, 4].Color.Data = 104;
image.Pixels[0, 5].Color.Data = 11;
image.Pixels[0, 6].Color.Data = 104;
image.Pixels[0, 7].Color.Data = 111;
image.Pixels[0, 8].Color.Data = 104;
image.Pixels[0, 9].Color.Data = 248;
image.Pixels[1, 0].Color.Data = 122;
image.Pixels[1, 1].Color.Data = 17;
image.Pixels[1, 2].Color.Data = 187;
image.Pixels[1, 3].Color.Data = 0;
image.Pixels[1, 4].Color.Data = 158;
image.Pixels[1, 5].Color.Data = 12;
image.Pixels[1, 6].Color.Data = 174;
image.Pixels[1, 7].Color.Data = 187;
image.Pixels[1, 8].Color.Data = 230;
image.Pixels[1, 9].Color.Data = 152;
image.Pixels[2, 0].Color.Data = 201;
image.Pixels[2, 1].Color.Data = 100;
image.Pixels[2, 2].Color.Data = 45;
image.Pixels[2, 3].Color.Data = 91;
image.Pixels[2, 4].Color.Data = 17;
image.Pixels[2, 5].Color.Data = 201;
image.Pixels[2, 6].Color.Data = 101;
image.Pixels[2, 7].Color.Data = 145;
image.Pixels[2, 8].Color.Data = 191;
image.Pixels[2, 9].Color.Data = 178;
image.Pixels[3, 0].Color.Data = 100;
image.Pixels[3, 1].Color.Data = 15;
image.Pixels[3, 2].Color.Data = 18;
image.Pixels[3, 3].Color.Data = 205;
image.Pixels[3, 4].Color.Data = 194;
image.Pixels[3, 5].Color.Data = 140;
image.Pixels[3, 6].Color.Data = 131;
image.Pixels[3, 7].Color.Data = 18;
image.Pixels[3, 8].Color.Data = 201;
image.Pixels[3, 9].Color.Data = 194;
image.Pixels[4, 0].Color.Data = 0;
image.Pixels[4, 1].Color.Data = 134;
image.Pixels[4, 2].Color.Data = 45;
image.Pixels[4, 3].Color.Data = 94;
image.Pixels[4, 4].Color.Data = 196;
image.Pixels[4, 5].Color.Data = 0;
image.Pixels[4, 6].Color.Data = 134;
image.Pixels[4, 7].Color.Data = 134;
image.Pixels[4, 8].Color.Data = 94;
image.Pixels[4, 9].Color.Data = 110;
image.Pixels[5, 0].Color.Data = 100;
image.Pixels[5, 1].Color.Data = 132;
image.Pixels[5, 2].Color.Data = 220;
image.Pixels[5, 3].Color.Data = 13;
image.Pixels[5, 4].Color.Data = 0;
image.Pixels[5, 5].Color.Data = 0;
image.Pixels[5, 6].Color.Data = 48;
image.Pixels[5, 7].Color.Data = 154;
image.Pixels[5, 8].Color.Data = 11;
image.Pixels[5, 9].Color.Data = 111;
image.Pixels[6, 0].Color.Data = 89;
image.Pixels[6, 1].Color.Data = 34;
image.Pixels[6, 2].Color.Data = 132;
image.Pixels[6, 3].Color.Data = 58;
image.Pixels[6, 4].Color.Data = 96;
image.Pixels[6, 5].Color.Data = 97;
image.Pixels[6, 6].Color.Data = 0;
image.Pixels[6, 7].Color.Data = 57;
image.Pixels[6, 8].Color.Data = 57;
image.Pixels[6, 9].Color.Data = 200;
GreyImage patternImage = new GreyImage(10, 7);
patternImage.Pixels[0, 0].Color.Data = 50;
patternImage.Pixels[0, 1].Color.Data = 125;
patternImage.Pixels[0, 2].Color.Data = 22;
patternImage.Pixels[0, 3].Color.Data = 110;
patternImage.Pixels[0, 4].Color.Data = 104;
patternImage.Pixels[0, 5].Color.Data = 11;
patternImage.Pixels[0, 6].Color.Data = 104;
patternImage.Pixels[0, 7].Color.Data = 111;
patternImage.Pixels[0, 8].Color.Data = 104;
patternImage.Pixels[0, 9].Color.Data = 248;
patternImage.Pixels[1, 0].Color.Data = 122;
patternImage.Pixels[1, 1].Color.Data = 17;
patternImage.Pixels[1, 2].Color.Data = 187;
patternImage.Pixels[1, 3].Color.Data = 0;
patternImage.Pixels[1, 4].Color.Data = 158;
patternImage.Pixels[1, 5].Color.Data = 12;
patternImage.Pixels[1, 6].Color.Data = 174;
patternImage.Pixels[1, 7].Color.Data = 187;
patternImage.Pixels[1, 8].Color.Data = 230;
patternImage.Pixels[1, 9].Color.Data = 152;
patternImage.Pixels[2, 0].Color.Data = 201;
patternImage.Pixels[2, 1].Color.Data = 100;
patternImage.Pixels[2, 2].Color.Data = 87;
patternImage.Pixels[2, 3].Color.Data = 93;
patternImage.Pixels[2, 4].Color.Data = 106;
patternImage.Pixels[2, 5].Color.Data = 113;
patternImage.Pixels[2, 6].Color.Data = 125;
patternImage.Pixels[2, 7].Color.Data = 140;
patternImage.Pixels[2, 8].Color.Data = 191;
patternImage.Pixels[2, 9].Color.Data = 178;
patternImage.Pixels[3, 0].Color.Data = 100;
patternImage.Pixels[3, 1].Color.Data = 15;
patternImage.Pixels[3, 2].Color.Data = 90;
patternImage.Pixels[3, 3].Color.Data = 98;
patternImage.Pixels[3, 4].Color.Data = 108;
patternImage.Pixels[3, 5].Color.Data = 111;
patternImage.Pixels[3, 6].Color.Data = 115;
patternImage.Pixels[3, 7].Color.Data = 125;
patternImage.Pixels[3, 8].Color.Data = 201;
patternImage.Pixels[3, 9].Color.Data = 194;
patternImage.Pixels[4, 0].Color.Data = 0;
patternImage.Pixels[4, 1].Color.Data = 134;
patternImage.Pixels[4, 2].Color.Data = 93;
patternImage.Pixels[4, 3].Color.Data = 96;
patternImage.Pixels[4, 4].Color.Data = 94;
patternImage.Pixels[4, 5].Color.Data = 92;
patternImage.Pixels[4, 6].Color.Data = 93;
patternImage.Pixels[4, 7].Color.Data = 103;
patternImage.Pixels[4, 8].Color.Data = 94;
patternImage.Pixels[4, 9].Color.Data = 110;
patternImage.Pixels[5, 0].Color.Data = 100;
patternImage.Pixels[5, 1].Color.Data = 132;
patternImage.Pixels[5, 2].Color.Data = 220;
patternImage.Pixels[5, 3].Color.Data = 13;
patternImage.Pixels[5, 4].Color.Data = 0;
patternImage.Pixels[5, 5].Color.Data = 0;
patternImage.Pixels[5, 6].Color.Data = 48;
patternImage.Pixels[5, 7].Color.Data = 154;
patternImage.Pixels[5, 8].Color.Data = 11;
patternImage.Pixels[5, 9].Color.Data = 111;
patternImage.Pixels[6, 0].Color.Data = 89;
patternImage.Pixels[6, 1].Color.Data = 34;
patternImage.Pixels[6, 2].Color.Data = 132;
patternImage.Pixels[6, 3].Color.Data = 58;
patternImage.Pixels[6, 4].Color.Data = 96;
patternImage.Pixels[6, 5].Color.Data = 97;
patternImage.Pixels[6, 6].Color.Data = 0;
patternImage.Pixels[6, 7].Color.Data = 57;
patternImage.Pixels[6, 8].Color.Data = 57;
patternImage.Pixels[6, 9].Color.Data = 200;
GaussFilter gaussFilter = new GaussFilter(5, 1.4);
//act
image = gaussFilter.Apply(image, 4);
//assert
Assert.IsTrue(image.IsEqual(patternImage));
}