public void TestHarrisResult()
{
Bitmap orig = new Bitmap(@"C:\Users\Hp Probook 440 G5\Documents\kepek\custom2.jpg");
Bitmap img = Grayscale.CommonAlgorithms.BT709.Apply(orig);
double threshold = 20000;
int winSize = 3;
//TEST CONVOLVE METHOD
Bitmap s_smoothed = SequentialUtils.Convolve(Utils.gaussian_operator, img, 16);
Bitmap s_dx = SequentialUtils.Convolve(Utils.dx_operator, s_smoothed, 1);
Bitmap s_dy = SequentialUtils.Convolve(Utils.dy_operator, s_smoothed, 1);
byte[] s_x = Utils.ConvertToByteArray(s_dx);
byte[] s_y = Utils.ConvertToByteArray(s_dy);
Bitmap p_smoothed = ParallelUtils.Convolve(Utils.gaussian_operator, img, 16);
Bitmap p_dx = ParallelUtils.Convolve(Utils.dx_operator, p_smoothed, 1);
Bitmap p_dy = ParallelUtils.Convolve(Utils.dy_operator, p_smoothed, 1);
byte[] p_x = Utils.ConvertToByteArray(p_dx);
byte[] p_y = Utils.ConvertToByteArray(p_dy);
CollectionAssert.AreEqual(s_x, p_x);
CollectionAssert.AreEqual(s_y, p_y);
//TEST MULTIPLY METHOD
int[] s_xy = SequentialUtils.Multiply(s_x, s_y);
int[] s_x2 = SequentialUtils.Multiply(s_x, s_x);
int[] s_y2 = SequentialUtils.Multiply(s_y, s_y);
int[] p_xy = ParallelUtils.Multiply(p_x, p_y);
int[] p_x2 = ParallelUtils.Multiply(p_x, p_x);
int[] p_y2 = ParallelUtils.Multiply(p_y, p_y);
CollectionAssert.AreEqual(s_xy, p_xy);
CollectionAssert.AreEqual(s_x2, p_x2);
CollectionAssert.AreEqual(s_y2, p_y2);
//TEST SUM CALCULATION
int imgStride = Utils.GetStride(s_smoothed);
int imgWidth = s_smoothed.Width;
int imgHeight = s_smoothed.Height;
int[] s_sumy2 = SequentialUtils.CalculateSum(s_y2, imgStride, 1);
int[] s_sumx2 = SequentialUtils.CalculateSum(s_x2, imgStride, 1);
int[] s_sumxy = SequentialUtils.CalculateSum(s_xy, imgStride, 1);
int[] p_sumy2 = ParallelUtils.CalculateSum(p_y2, imgStride, 1);
int[] p_sumx2 = ParallelUtils.CalculateSum(p_x2, imgStride, 1);
int[] p_sumxy = ParallelUtils.CalculateSum(p_xy, imgStride, 1);
CollectionAssert.AreEqual(s_sumxy, p_sumxy);
CollectionAssert.AreEqual(s_sumx2, p_sumx2);
CollectionAssert.AreEqual(s_sumy2, p_sumy2);
//TEST CORNER STRENGTH VALUES
double[] s_harris = SequentialUtils.CalculateHarris(s_sumx2, s_sumy2, s_sumxy);
double[] p_harris = ParallelUtils.CalculateHarris(p_sumx2, p_sumy2, p_sumxy);
CollectionAssert.AreEqual(s_harris, p_harris);
//TEST NON MAXIMUM SUPPRESSION
double[] s_maxes = SequentialUtils.NonMaximumSuppression(s_harris, imgStride, winSize);
double[] p_maxes = ParallelUtils.NonMaximumSuppression(p_harris, imgStride, winSize);
CollectionAssert.AreEqual(s_maxes, p_maxes);
//TEST THRESHOLD
List <IntPoint> s_result = SequentialUtils.Threshold(s_maxes, imgStride, threshold);
ParallelUtils par = new ParallelUtils();
List <IntPoint> p_result = par.Threshold(p_maxes, imgStride, threshold);
CollectionAssert.AreEquivalent(s_result, p_result);
}
public void TestCalculateSum()
{
int[] array =
{ 1, 2, 3, 4,
2, 3, 4, 5,
3, 4, 5, 6,
4, 5, 6, 7 };
int[] output =
{ 0, 0, 0, 0,
0, 27, 36, 0,
0, 36, 45, 0,
0, 0, 0, 0 };
int imgStride = 4;
int[] s_sum = SequentialUtils.CalculateSum(array, imgStride, 1);
CollectionAssert.AreEqual(s_sum, output);
int[] p_sum = ParallelUtils.CalculateSum(array, imgStride, 1);
CollectionAssert.AreEqual(p_sum, output);
}