public void StateBuilder_SURFType()
{
// Arrange
SURFResult result = new SURFResult()
{
Coordinator = new Point(1, 1),
Pixel = Color.Red,
Note = ENote.Am,
NumberOfElements = 12
};
StatesBuilder stateBuilder = new StatesBuilder(new List <IResult>()
{
result
}, EModelType.SURF);
// Act
List <IState> states = stateBuilder.Build();
// Arrange
Assert.IsFalse(states.IsNullOrEmpty());
states.ForEach(s =>
{
Assert.IsTrue(s.ModelType == EModelType.SURF);
Assert.IsInstanceOfType(s, typeof(SURFState));
Assert.IsNotNull(((SURFState)s).Element);
});
}
/// <summary>
/// SURFによる検出処理を行う
/// </summary>
/// <param name="dstPath"></param>
/// <param name="srcPath"></param>
private static SURFResult SURF(IplImage image, String srcPath, bool isDebug = false)
{
SURFResult result = new SURFResult();
// cvExtractSURF
// SURFで対応点検出
// call cv::initModule_nonfree() before using SURF/SIFT.
CvCpp.InitModule_NonFree();
using (IplImage obj = Cv.LoadImage(srcPath, LoadMode.GrayScale))
//using (IplImage image = Cv.LoadImage(dstPath, LoadMode.GrayScale))
using (IplImage objColor = Cv.CreateImage(obj.Size, BitDepth.U8, 3))
using (IplImage correspond = Cv.CreateImage(new CvSize(image.Width, obj.Height + image.Height), BitDepth.U8, 1))
{
if (isDebug)
{
Cv.CvtColor(obj, objColor, ColorConversion.GrayToBgr);
Cv.SetImageROI(correspond, new CvRect(0, 0, obj.Width, obj.Height));
Cv.Copy(obj, correspond);
Cv.SetImageROI(correspond, new CvRect(0, obj.Height, correspond.Width, correspond.Height));
Cv.Copy(image, correspond);
Cv.ResetImageROI(correspond);
}
// テンプレート画像の記録
result.templateSize = obj.GetSize();
// SURFの処理
CvSeq<CvSURFPoint> objectKeypoints, imageKeypoints;
CvSeq<IntPtr> objectDescriptors, imageDescriptors;
System.Diagnostics.Stopwatch watch = System.Diagnostics.Stopwatch.StartNew();
{
using (CvMemStorage storage = Cv.CreateMemStorage(0))
{
//CvSURFParams param = new CvSURFParams(20, true);
Cv.ExtractSURF(obj, null, out objectKeypoints, out objectDescriptors, storage, new CvSURFParams(20, true));
Console.WriteLine("Object Descriptors: {0}", objectDescriptors.Total);
Cv.ExtractSURF(image, null, out imageKeypoints, out imageDescriptors, storage, new CvSURFParams(20000, true));
Console.WriteLine("Image Descriptors: {0}", imageDescriptors.Total);
}
}
watch.Stop();
Console.WriteLine("Extraction time = {0}ms", watch.ElapsedMilliseconds);
watch.Reset();
watch.Start();
// シーン画像にある局所画像の領域を線で囲む
//CvPoint[] srcCorners = new CvPoint[4]{
// new CvPoint(0,0),
// new CvPoint(obj.Width,0),
// new CvPoint(obj.Width, obj.Height),
// new CvPoint(0, obj.Height)
//};
//CvPoint[] dstCorners = LocatePlanarObject(
// objectKeypoints, objectDescriptors,
// imageKeypoints, imageDescriptors,
// srcCorners
//);
//if (dstCorners != null)
//{
// // 検出した領域の頂点
// result.dstCorners = dstCorners;
// for (int i = 0; i < 4; i++)
// {
// CvPoint r1 = dstCorners[i % 4];
// CvPoint r2 = dstCorners[(i + 1) % 4];
// if (isDebug)
// {
// Cv.Line(correspond, new CvPoint(r1.X, r1.Y + obj.Height), new CvPoint(r2.X, r2.Y + obj.Height), CvColor.Black);
// }
// }
//}
// 対応点同士を線で引く
int[] ptPairs = FindPairs(objectKeypoints, objectDescriptors, imageKeypoints, imageDescriptors);
for (int i = 0; i < ptPairs.Length; i += 2)
{
CvSURFPoint r1 = Cv.GetSeqElem<CvSURFPoint>(objectKeypoints, ptPairs[i]).Value;
CvSURFPoint r2 = Cv.GetSeqElem<CvSURFPoint>(imageKeypoints, ptPairs[i + 1]).Value;
// 対応点を格納
result.findPointList.Add(r2);
if (isDebug)
{
Cv.Line(correspond, r1.Pt, new CvPoint(Cv.Round(r2.Pt.X), Cv.Round(r2.Pt.Y + obj.Height)), CvColor.Black);
}
}
//// 特徴点の場所に円を描く
//for (int i = 0; i < objectKeypoints.Total; i++)
//{
// CvSURFPoint r = Cv.GetSeqElem<CvSURFPoint>(objectKeypoints, i).Value;
// CvPoint center = new CvPoint(Cv.Round(r.Pt.X), Cv.Round(r.Pt.Y));
// int radius = Cv.Round(r.Size * (1.2 / 9.0) * 2);
// Cv.Circle(objColor, center, radius, CvColor.Red, 1, LineType.AntiAlias, 0);
//}
watch.Stop();
Console.WriteLine("Drawing time = {0}ms", watch.ElapsedMilliseconds);
// ウィンドウに表示
if (isDebug)
{
//using (CvWindow winObject = new CvWindow("Object", WindowMode.AutoSize, objColor))
using (CvWindow winCorrespond = new CvWindow("Object Correspond", WindowMode.AutoSize, correspond))
{
CvWindow.WaitKey(0);
}
}
}
return result;
}