/// <summary>
///
/// </summary>
/// <param name="fileName">書きこむXML or YAMLファイル</param>
private static void SampleFileStorageWriteSeq(string fileName)
{
// cvStartWriteStruct, cvEndWriteStruct
const int size = 20;
CvRNG rng = new CvRNG((ulong)DateTime.Now.Ticks);
CvPoint[] pt = new CvPoint[size];
for (int i = 0; i < pt.Length; i++)
{
pt[i].X = (int)rng.RandInt(100);
pt[i].Y = (int)rng.RandInt(100);
}
using (CvFileStorage fs = new CvFileStorage(fileName, null, FileStorageMode.Write))
{
fs.StartWriteStruct("points", NodeType.Seq);
for (int i = 0; i < pt.Length; i++)
{
fs.StartWriteStruct(null, NodeType.Map | NodeType.Flow);
fs.WriteInt("x", pt[i].X);
fs.WriteInt("y", pt[i].Y);
fs.EndWriteStruct();
}
fs.EndWriteStruct();
}
}
/// <summary>
/// マップのシーケンスのファイルストレージへの書き込み
/// </summary>
/// <param name="fileName">書きこむXML or YAMLファイル</param>
private static void SampleFileStorageWriteSeq(string fileName)
{
// cvStartWriteStruct, cvEndWriteStruct
// 二つのエントリを持つマップのシーケンスをファイルに保存する
const int size = 20;
CvRNG rng = new CvRNG((ulong)DateTime.Now.Ticks);
CvPoint[] pt = new CvPoint[size];
// (1)点列の作成
for (int i = 0; i < pt.Length; i++)
{
pt[i].X = (int)rng.RandInt(100);
pt[i].Y = (int)rng.RandInt(100);
}
// (2)マップのシーケンスとして点列を保存
using (CvFileStorage fs = new CvFileStorage(fileName, null, FileStorageMode.Write))
{
fs.StartWriteStruct("points", NodeType.Seq);
for (int i = 0; i < pt.Length; i++)
{
fs.StartWriteStruct(null, NodeType.Map | NodeType.Flow);
fs.WriteInt("x", pt[i].X);
fs.WriteInt("y", pt[i].Y);
fs.EndWriteStruct();
}
fs.EndWriteStruct();
}
// (3)書きこんだyamlファイルを開く
//using (Process p = Process.Start(fileName)) {
// p.WaitForExit();
//}
}
public Contour()
{
// cvContourArea, cvArcLength
// 輪郭によって区切られた領域の面積と，輪郭の長さを求める
const int SIZE = 500;
// (1)画像を確保し初期化する
using (CvMemStorage storage = new CvMemStorage())
using (IplImage img = new IplImage(SIZE, SIZE, BitDepth.U8, 3))
{
img.Zero();
// (2)点列を生成する
CvSeq <CvPoint> points = new CvSeq <CvPoint>(SeqType.PolyLine, storage);
CvRNG rng = new CvRNG((ulong)DateTime.Now.Ticks);
double scale = rng.RandReal() + 0.5;
CvPoint pt0 = new CvPoint
{
X = (int)(Math.Cos(0) * SIZE / 4 * scale + SIZE / 2),
Y = (int)(Math.Sin(0) * SIZE / 4 * scale + SIZE / 2)
};
img.Circle(pt0, 2, CvColor.Green);
points.Push(pt0);
for (int i = 1; i < 20; i++)
{
scale = rng.RandReal() + 0.5;
CvPoint pt1 = new CvPoint
{
X = (int)(Math.Cos(i * 2 * Math.PI / 20) * SIZE / 4 * scale + SIZE / 2),
Y = (int)(Math.Sin(i * 2 * Math.PI / 20) * SIZE / 4 * scale + SIZE / 2)
};
img.Line(pt0, pt1, CvColor.Green, 2);
pt0.X = pt1.X;
pt0.Y = pt1.Y;
img.Circle(pt0, 3, CvColor.Green, Cv.FILLED);
points.Push(pt0);
}
img.Line(pt0, points.GetSeqElem(0).Value, CvColor.Green, 2);
// (3)包含矩形，面積，長さを求める
CvRect rect = points.BoundingRect(false);
double area = points.ContourArea();
double length = points.ArcLength(CvSlice.WholeSeq, 1);
// (4)結果を画像に書き込む
img.Rectangle(new CvPoint(rect.X, rect.Y), new CvPoint(rect.X + rect.Width, rect.Y + rect.Height), CvColor.Red, 2);
string text_area = string.Format("Area: wrect={0}, contour={1}", rect.Width * rect.Height, area);
string text_length = string.Format("Length: rect={0}, contour={1}", 2 * (rect.Width + rect.Height), length);
using (CvFont font = new CvFont(FontFace.HersheySimplex, 0.7, 0.7, 0, 1, LineType.AntiAlias))
{
img.PutText(text_area, new CvPoint(10, img.Height - 30), font, CvColor.White);
img.PutText(text_length, new CvPoint(10, img.Height - 10), font, CvColor.White);
}
// (5)画像を表示，キーが押されたときに終了
using (CvWindow window = new CvWindow("BoundingRect", WindowMode.AutoSize))
{
window.Image = img;
CvWindow.WaitKey(0);
}
}
}
public BoundingRect()
{
// cvBoundingRect
// 点列を包含する矩形を求める
// (1)画像とメモリストレージを確保し初期化する
// (メモリストレージは、CvSeqを使わないのであれば不要)
using (IplImage img = new IplImage(640, 480, BitDepth.U8, 3))
using (CvMemStorage storage = new CvMemStorage(0))
{
img.Zero();
CvRNG rng = new CvRNG(DateTime.Now);
// (2)点列を生成する
///*
// お手軽な方法 (普通の配列を使う)
CvPoint[] points = new CvPoint[50];
for (int i = 0; i < 50; i++)
{
points[i] = new CvPoint()
{
X = (int)(rng.RandInt() % (img.Width / 2) + img.Width / 4),
Y = (int)(rng.RandInt() % (img.Height / 2) + img.Height / 4)
};
img.Circle(points[i], 3, new CvColor(0, 255, 0), Cv.FILLED);
}
//*/
/*
* // サンプルに準拠した方法 (CvSeqを使う)
* CvSeq points = new CvSeq(SeqType.EltypePoint, CvSeq.SizeOf, CvPoint.SizeOf, storage);
* for (int i = 0; i < 50; i++) {
* CvPoint pt = new CvPoint();
* pt.X = (int)(rng.RandInt() % (img.Width / 2) + img.Width / 4);
* pt.Y = (int)(rng.RandInt() % (img.Height / 2) + img.Height / 4);
* points.Push(pt);
* img.Circle(pt, 3, new CvColor(0, 255, 0), Cv.FILLED);
* }
* //*/
// (3)点列を包含する矩形を求めて描画する
CvRect rect = Cv.BoundingRect(points);
img.Rectangle(new CvPoint(rect.X, rect.Y), new CvPoint(rect.X + rect.Width, rect.Y + rect.Height), new CvColor(255, 0, 0), 2);
// (4)画像の表示，キーが押されたときに終了
using (CvWindow w = new CvWindow("BoundingRect", WindowMode.AutoSize, img))
{
CvWindow.WaitKey(0);
}
}
}
public IplImage BoundingRectangle()
{
bound = new IplImage(new CvSize(640, 480), BitDepth.U8, 3);
int num = 7;
CvRNG rng = new CvRNG(DateTime.Now);
CvPoint[] points = new CvPoint[num];
for (int i = 0; i < num; i++)
{
points[i] = new CvPoint()
{
X = (int)(rng.RandInt() % (bound.Width)),
Y = (int)(rng.RandInt() % (bound.Height))
};
Cv.DrawCircle(bound, points[i], 3, CvColor.Green, Cv.FILLED);
}
CvRect rect = Cv.BoundingRect(points);
Cv.DrawRect(bound, rect, CvColor.Red, 2);
return(bound);
}
