本文整理汇总了C#中Mat.Cut方法的典型用法代码示例。如果您正苦于以下问题：C# Mat.Cut方法的具体用法？C# Mat.Cut怎么用？C# Mat.Cut使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Mat的用法示例。
在下文中一共展示了Mat.Cut方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: OtherOperation
public static bool OtherOperation(System.Drawing.Rectangle frogRect)
{
if (false)
{
var mat = Cv2.GetRotationMatrix2D(new Point2f(10, 10), 45, 1);
Console.WriteLine(mat);
//Console.WriteLine(mat.Dims);
Console.WriteLine(mat.Size());
var p = new Mat(3, 1, MatType.CV_64FC1);
p.Set<double>(0, 0, 0);
p.Set<double>(1, 0, 0);
p.Set<double>(2, 0, 1);
Console.WriteLine(p);
//var q = mat.Cross(p);
var q = (mat * p).ToMat();
Console.WriteLine(q);
Console.WriteLine(q.Get<double>(0, 0));
Console.WriteLine(q.Get<double>(1, 0));
return true;
}
if (false)
{
var dir = "Example2/";
var src = new Mat("0.bmp");
var frog = src.Cut(new Rect(frogRect.X, frogRect.Y, frogRect.Width, frogRect.Height));
frog.ImWrite(dir + "/frog.bmp");
var frog_hsv_channels = frog.CvtColor(ColorConversion.RgbToHsv).Split();
for (var i = 0; i < 3; ++i)
frog_hsv_channels[i].ImWrite(dir + string.Format("frog {0}.png", hsv_names[i]));
frog_hsv_channels[1].Threshold(210, 255, ThresholdType.Binary).ImWrite(dir + "frog s th.png");
return true;
}
if (false)
{
MakeImagesForArticle();
return true;
}
if (false)
{
DetectBallsForArticle();
return true;
}
if (false)
{
var images = Enumerable.Range(0, 3).Select(i => string.Format("{0}.bmp", i)).Select(name => LoadBitmap(name).ToImage()).ToArray();
//var zeroImage = new int[images[0].GetLength(0), images[0].GetLength(1)];
var diff0_1 = images[0].Diff(images[1], 0, 0, 10);
var diff1_2 = images[1].Diff(images[2], 0, 0, 10);
diff0_1.ToBitmap().Save("diff s 0 1.bmp");
diff1_2.ToBitmap().Save("diff s 1 2.bmp");
diff0_1.And(diff1_2).ToBitmap().Save("diff s.bmp");
foreach (var t in new[] { 0, 10, 20, 50, 100 })
{
for (var dy = 0; dy < 10; ++dy)
{
images[1].Diff(images[0], 0, dy, t).ToBitmap().Save(string.Format("diff 0 {0} {1}.bmp", dy, t));
}
}
//foreach (var t in new[] { 0, 10, 20, 50, 100, 150 })
//{
// images[1].Diff(zeroImage, 0, 0, t).ToBitmap().Save(string.Format("diff-z {0}.bmp", t));
//}
return true;
}
return false;
}示例2: MakeImagesForArticle
private static void MakeImagesForArticle()
{
var resizeK = 0.2;
var dir = "Example/";
var src = new Mat("0.bmp");
var src_g = new Mat("0.bmp", LoadMode.GrayScale);
var src_1 = new Mat("1.bmp");
var src_1_g = new Mat("1.bmp", LoadMode.GrayScale);
var background = new Mat("background.bmp");
var background_g = new Mat("background.bmp", LoadMode.GrayScale);
src.Resize(resizeK).ImWrite(dir + "0.png");
src_g.Resize(resizeK).ImWrite(dir + "0 g.png");
src_g.ThresholdStairs().Resize(resizeK).ImWrite(dir + "0 g th.png");
var canny = new Mat();
Cv2.Canny(src_g, canny, 50, 200);
canny.Resize(0.5).ImWrite(dir + "0 canny.png");
Mat[] src_channels;
Cv2.Split(src, out src_channels);
for (var i = 0; i < src_channels.Length; ++i)
{
var channels = Enumerable.Range(0, src_channels.Length).Select(j => new Mat(src_channels[0].Rows, src_channels[0].Cols, src_channels[0].Type())).ToArray();
channels[i] = src_channels[i];
var dst = new Mat();
Cv2.Merge(channels, dst);
dst.Resize(resizeK).ImWrite(dir + string.Format("0 ch{0}.png", i));
src_channels[i].ThresholdStairs().Resize(resizeK).ImWrite(dir + string.Format("0 ch{0} th.png", i));
}
if (true)
{
src.Resize(0.4).ImWrite(dir + "0.png");
src_1.Resize(0.4).ImWrite(dir + "1.png");
background.Resize(0.4).ImWrite(dir + "bg.png");
var dst_01 = new Mat();
Cv2.Absdiff(src, src_1, dst_01);
dst_01.Resize(resizeK).ImWrite(dir + "01.png");
dst_01.Cut(new Rect(50, src.Height * 4 / 5 - 50, src.Width / 5, src.Height / 5)).ImWrite(dir + "01 part.png");
dst_01.Cut(new Rect(50, src.Height * 4 / 5 - 50, src.Width / 5, src.Height / 5)).CvtColor(ColorConversion.RgbToGray).ImWrite(dir + "01 g.png");
dst_01.CvtColor(ColorConversion.RgbToGray).ThresholdStairs().Resize(resizeK).ImWrite(dir + "01 g th.png");
var dst_01_g = new Mat();
Cv2.Absdiff(src_g, src_1_g, dst_01_g);
dst_01_g.Cut(new Rect(50, src.Height * 4 / 5 - 50, src.Width / 5, src.Height / 5)).ImWrite(dir + "0g1g.png");
dst_01_g.ThresholdStairs().Resize(resizeK).ImWrite(dir + "0g1g th.png");
}
if (true)
{
var dst_0b = new Mat();
Cv2.Absdiff(src, background, dst_0b);
dst_0b.Resize(0.6).ImWrite(dir + "0b.png");
var dst_0b_g = new Mat();
Cv2.Absdiff(src_g, background_g, dst_0b_g);
dst_0b_g.Resize(0.3).ImWrite(dir + "0b g.png");
dst_0b_g.ThresholdStairs().Resize(0.3).ImWrite(dir + "0b g th.png");
}
if (true)
{
var hsv_src = new Mat();
Cv2.CvtColor(src, hsv_src, ColorConversion.RgbToHsv);
var hsv_background = new Mat();
Cv2.CvtColor(background, hsv_background, ColorConversion.RgbToHsv);
var hsv_background_channels = hsv_background.Split();
var hsv_src_channels = hsv_src.Split();
if (true)
{
var all = new Mat(src.ToIplImage(), true);
for (var i = 0; i < hsv_src_channels.Length; ++i)
{
hsv_src_channels[i].CvtColor(ColorConversion.GrayToRgb).CopyTo(all, new Rect(i * src.Width / 3, src.Height / 2, src.Width / 3, src.Height / 2));
}
src_g.CvtColor(ColorConversion.GrayToRgb).CopyTo(all, new Rect(src.Width / 2, 0, src.Width / 2, src.Height / 2));
all.Resize(0.3).ImWrite(dir + "all.png");
}
foreach (var pair in new[] { "h", "s", "v" }.Select((channel, index) => new { channel, index }))
{
var diff = new Mat();
Cv2.Absdiff(hsv_src_channels[pair.index], hsv_background_channels[pair.index], diff);
diff.Resize(0.3).With_Title(pair.channel).ImWrite(dir + string.Format("0b {0}.png", pair.channel));
diff.ThresholdStairs().Resize(0.3).ImWrite(dir + string.Format("0b {0} th.png", pair.channel));
hsv_src_channels[pair.index].Resize(resizeK).With_Title(pair.channel).ImWrite(dir + string.Format("0 {0}.png", pair.channel));
foreach (var d in new[] { -100, -50, 50, 100 })
//.........这里部分代码省略.........