private void button1_Click(object sender, EventArgs e)
{
//float gaussianStep = 1.6f;
//float sigmaLimit = 1000;
//GaussianKernel gk1 = new GaussianKernel(0);
//Bitmap lastBit = null;
//for (float i = 6.4f; i < sigmaLimit; i += gaussianStep)
//{
// gk1.Sigma = i;
// Bitmap sigma1 = gk1.Conv((Bitmap)pictureBox1.Image);
// if (lastBit != null)
// {
// Bitmap dog = UnityTools.Diff(sigma1, lastBit);
// lastBit.Save(@"C:\MediaSlot\CloudDocs\Docs\课程\模式识别\Algorithms\TestImages\Records\gaussian-" + (i - gaussianStep).ToString("0.0") + ".bmp");
// sigma1.Save(@"C:\MediaSlot\CloudDocs\Docs\课程\模式识别\Algorithms\TestImages\Records\gaussian-" + i.ToString("0.0") + ".bmp");
// dog.Save(@"C:\MediaSlot\CloudDocs\Docs\课程\模式识别\Algorithms\TestImages\Records\" + i.ToString("0.0") + "-" + (i - gaussianStep).ToString("0.0") + ".bmp");
// }
// lastBit = Bitmap.FromHbitmap(sigma1.GetHbitmap());
//}
if (th1.ThreadState != ThreadState.Running)
{
th1 = new Thread(new ThreadStart(() =>
{
SIFTSolver gk = new SIFTSolver(1.6f);
gk.ColorFormat = ColorFormat.GrayScale;
Bitmap[,] pyramid = gk.GetGaussianPyramid(UnityTools.ConvertToGray((Bitmap)pictureBox1.Image), 1, 3);
//Bitmap[,] pyramid = gk.GetGaussianPyramid((Bitmap)pictureBox1.Image, 3, 5);
Bitmap[,] dogs = gk.GetDoGs(pyramid);
for (int i = 0; i < pyramid.GetLength(0); i++)
{
for (int j = 0; j < pyramid.GetLength(1); j++)
{
pyramid[i, j].Save(@"C:\MediaSlot\CloudDocs\Docs\课程\模式识别\Algorithms\TestImages\Records\" + i + "-" + j + ".bmp");
}
}
for (int i = 0; i < dogs.GetLength(0); i++)
{
for (int j = 0; j < dogs.GetLength(1); j++)
{
dogs[i, j].Save(@"C:\MediaSlot\CloudDocs\Docs\课程\模式识别\Algorithms\TestImages\Records\dogs-" + i + "-" + j + ".bmp");
}
}
}));
th1.Start();
}
}
private void button3_Click(object sender, EventArgs e)
{
pictureBox2.Image = UnityTools.ConvertToGray((Bitmap)pictureBox1.Image);
}