private void fMMNNToolStripMenuItem_Click(object sender, EventArgs e)
{
Bitmap bitmap = totalpicture;
Run run = new Run();
run.numFMMNN(bitmap);
ImageProcessing ip = new ImageProcessing();
pictureBox2.Image = new Bitmap(run.Convert(ip.roiarea(ip.maxmin(ip.GrayArray(totalpicture)))), pictureBox2.Width, pictureBox2.Height);
}
public double[] membership(Bitmap bitmap)
{
// 4방향의 소속도를 출력
ImageProcessing ip = new ImageProcessing();
perceptron per = new perceptron();
// gray->binary->roi
int[,] grayarray = ip.roiarea(ip.maxmin(ip.GrayArray(bitmap)));
double[] distance = new double[num.CLUSTER];
double sum = 0.0;
double[] Csum = new double[num.CLUSTER] {
0, 0, 0, 0
};
double min = 1.0;
double max = 0.0;
// 총길이로 나오기때문에 -1해줘야함
int[][] Cw = new int[4][] {
new int[] { 0, 0 },
new int[] { grayarray.GetLength(0) - 1, 0 },
new int[] { 0, grayarray.GetLength(1) - 1 },
new int[] { grayarray.GetLength(0) - 1, grayarray.GetLength(1) - 1 }
};
for (int y = 0; y < grayarray.GetLength(1); y++)
{
for (int x = 0; x < grayarray.GetLength(0); x++)
{
if (grayarray[x, y] == 0)
{
for (int i = 0; i < num.CLUSTER; i++)
{
distance[i] = Math.Pow((x - Cw[i][0]), 2) + Math.Pow(y - Cw[i][1], 2);
distance[i] = Math.Sqrt(distance[i]);
sum += distance[i];
}
for (int i = 0; i < num.CLUSTER; i++)
{
distance[i] = 1 - distance[i] / sum;
if (min > distance[i])
{
min = distance[i];
}
if (max < distance[i])
{
max = distance[i];
}
}
sum = 0.0;
}
}
}
for (int y = 0; y < grayarray.GetLength(1); y++)
{
for (int x = 0; x < grayarray.GetLength(0); x++)
{
if (grayarray[x, y] == 0)
{
for (int i = 0; i < num.CLUSTER; i++)
{
distance[i] = Math.Pow((x - Cw[i][0]), 2) + Math.Pow(y - Cw[i][1], 2);
distance[i] = Math.Sqrt(distance[i]);
sum += distance[i];
}
for (int i = 0; i < num.CLUSTER; i++)
{
distance[i] = 1 - distance[i] / sum;
distance[i] = per.maxminStretch(distance[i], max, min);
Csum[i] += distance[i];
// Console.WriteLine(distance[i]);
}
sum = 0.0;
// Console.WriteLine();
}
}
}
min = 99999999.0;
max = 0.0;
for (int i = 0; i < num.CLUSTER; i++)
{
if (min > Csum[i])
{
min = Csum[i];
}
if (max < Csum[i])
{
max = Csum[i];
}
}
Console.WriteLine("----------Clustering 출력값----------");
for (int i = 0; i < num.CLUSTER; i++)
{
Csum[i] = per.maxminStretch(Csum[i], max, min);
Console.WriteLine((i + 1) + "번째 클러스터 : " + Csum[i]);
}
return(Csum);
}