接上一篇高斯滤波,后来测试发现,与其扩充边界(费力气)处理,不如直接把之设为0(效果好):
List<Point> pointL = new List<Point>();
private void myGaussFilter123(short[,] data)
{
int w_Data = data.GetLength(0);
int h_Data = data.GetLength(1);
double[,] arr = gaussFilter(3, 1.5);
for (int i = 2; i < w_Data - 1; i++)
{
for (int j = 2; j < h_Data - 1; j++)
{
bool judgeBool = false;
for (int a = i - 1; a <= i + 1; a++)
{
for (int b = j - 1; b <= j + 1; b++)
{
if (Math.Abs(a - i) == 1 || Math.Abs(b - j) == 1)
{
if (data[a, b] == 0)
{
judgeBool = true;
break;
}
}
}
if (judgeBool)
{
break;
}
}
if (judgeBool)
{
if (data[i, j] > 0)
{
short[,] shortTmp = (short[,])data.Clone();
pointL.Add(new Point(i,j));
//data[i, j] = edgeBianTong(shortTmp, new Point(i, j), arr);
}
continue;
}
double tmpValue = 0;
for (int x = 0; x < 3; x++)
{
for (int y = 0; y < 3; y++)
{
tmpValue += data[i + 1 - x, j + 1 - y] * arr[x, y];//高斯滤波矩阵是对称的
}
}
data[i, j] = (short)tmpValue;
}
}
foreach (Point point in pointL)
{
data[point.X, point.Y] = 0;
}
}
原文:https://www.cnblogs.com/gaara-zhang/p/9567309.html