本文整理匯總了C#中OpenCvSharp.IplImage.MinMaxLoc方法的典型用法代碼示例。如果您正苦於以下問題：C# IplImage.MinMaxLoc方法的具體用法？C# IplImage.MinMaxLoc怎麽用？C# IplImage.MinMaxLoc使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類OpenCvSharp.IplImage的用法示例。
在下文中一共展示了IplImage.MinMaxLoc方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的C#代碼示例。
示例1: FeatureDetector
private IplImage FeatureDetector(Bitmap bitmapIn)
{
double minVal, maxVal;
IplImage i1 = BitmapConverter.ToIplImage(bitmapIn);
IplImage gray = new IplImage(new OpenCvSharp.CvSize(i1.Size.Width, i1.Size.Height), BitDepth.U8, 1);
IplImage blur = new IplImage(new OpenCvSharp.CvSize(i1.Size.Width, i1.Size.Height), BitDepth.U8, 1);
IplImage gaussian = new IplImage(new OpenCvSharp.CvSize(i1.Size.Width, i1.Size.Height), BitDepth.U8, 1);
IplImage laplace = new IplImage(new OpenCvSharp.CvSize(i1.Size.Width, i1.Size.Height), BitDepth.F32, gaussian.NChannels);
IplImage converted = new IplImage(new OpenCvSharp.CvSize(i1.Size.Width, i1.Size.Height), BitDepth.U8, 1);
IplImage normalized = new IplImage(new OpenCvSharp.CvSize(i1.Size.Width, i1.Size.Height), BitDepth.U8, 1);
IplImage tresh = new IplImage(new OpenCvSharp.CvSize(i1.Size.Width, i1.Size.Height), BitDepth.U8, 1);
OpenCvSharp.Cv.CvtColor(i1, gray, ColorConversion.RgbToGray);
OpenCvSharp.Cv.Normalize(gray, normalized, 0.0, 255.0, NormType.MinMax);
OpenCvSharp.Cv.Smooth(normalized, blur, SmoothType.Median, 5, 5);
OpenCvSharp.Cv.Smooth(blur, gaussian, SmoothType.Gaussian, 5, 5);
OpenCvSharp.Cv.Laplace(gaussian, laplace, ApertureSize.Size5);
laplace.MinMaxLoc(out minVal, out maxVal);
laplace.ConvertScale(converted, 255.0 / (2.0 * maxVal), 128);
OpenCvSharp.Cv.Threshold(converted, tresh, 150.0, 255.0, ThresholdType.Binary);
return tresh;
}示例2: bestMatchNum
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の畫像とマッチング
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;
}