private static int bestMatchNum(IplImage source, IplImage[] temp_num, double threshold)
{
CvSize size = new CvSize(
source.GetROI().Width - temp_num[0].Width + 1,
source.GetROI().Height - temp_num[0].Height + 1);
// 0から9の一致度
double[] max_list = new double[10];
// 0-9の画像とマッチング
Parallel.For(0, 10, i =>
{
IplImage result = new IplImage(size, BitDepth.F32, 1);
source.MatchTemplate(temp_num[i], result,
MatchTemplateMethod.CCoeffNormed);
double min;
CvPoint min_point, max_point;
result.MinMaxLoc(out min, out max_list[i], out min_point, out max_point);
});
// 一致度が最大のものを探す
double best = 0.0;
int best_index = -1;
for (int i = 0; i < 10; i++)
{
double tmp = max_list[i];
if (tmp > best)
{
best = tmp;
best_index = i;
}
}
// しきい値以下の精度であれば切り捨て
if (best < threshold) return -1;
return best_index;
}