public ConvertToBitmapSource()
{
BitmapSource bs = null;
// OpenCVによる画像処理 (Threshold)
using (IplImage src = new IplImage(Const.ImageLenna, LoadMode.GrayScale))
using (IplImage dst = new IplImage(src.Size, BitDepth.U8, 1))
{
src.Smooth(src, SmoothType.Gaussian, 5);
src.Threshold(dst, 0, 255, ThresholdType.Otsu);
// IplImage -> BitmapSource
bs = dst.ToBitmapSource();
//bs = BitmapSourceConverter.ToBitmapSource(dst);
}
// WPFのWindowに表示してみる
Image image = new Image { Source = bs };
Window window = new Window
{
Title = "from IplImage to BitmapSource",
Width = bs.PixelWidth,
Height = bs.PixelHeight,
Content = image
};
Application app = new Application();
app.Run(window);
}
public ConvertToWriteableBitmap()
{
WriteableBitmap wb = null;
// OpenCVによる画像処理 (Threshold)
using (IplImage src = new IplImage(Const.ImageLenna, LoadMode.GrayScale))
using (IplImage dst = new IplImage(src.Size, BitDepth.U8, 1))
{
src.Smooth(src, SmoothType.Gaussian, 5);
src.Threshold(dst, 0, 255, ThresholdType.Otsu);
// IplImage -> WriteableBitmap
wb = dst.ToWriteableBitmap(PixelFormats.BlackWhite);
//wb = WriteableBitmapConverter.ToWriteableBitmap(dst, PixelFormats.BlackWhite);
}
// WPFのWindowに表示してみる
Image image = new Image { Source = wb };
Window window = new Window
{
Title = "from IplImage to WriteableBitmap",
Width = wb.PixelWidth,
Height = wb.PixelHeight,
Content = image
};
Application app = new Application();
app.Run(window);
}
public ConvertToWriteableBitmap()
{
WriteableBitmap wb = null;
// OpenCV processing
using (var src = new IplImage(FilePath.Image.Lenna, LoadMode.GrayScale))
using (var dst = new IplImage(src.Size, BitDepth.U8, 1))
{
src.Smooth(src, SmoothType.Gaussian, 5);
src.Threshold(dst, 0, 255, ThresholdType.Otsu);
// IplImage -> WriteableBitmap
wb = dst.ToWriteableBitmap(PixelFormats.BlackWhite);
//wb = WriteableBitmapConverter.ToWriteableBitmap(dst, PixelFormats.BlackWhite);
}
// Shows WriteableBitmap to WPF window
var image = new Image { Source = wb };
var window = new Window
{
Title = "from IplImage to WriteableBitmap",
Width = wb.PixelWidth,
Height = wb.PixelHeight,
Content = image
};
var app = new Application();
app.Run(window);
}
/// <summary>
/// 画像データ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 SampleFileStorageWriteImage(string fileName)
{
// cvWrite, cvWriteComment
// IplImage構造体の情報をファイルに保存する
// (1)画像を読み込む
using (IplImage colorImg = new IplImage(Const.ImageLenna, LoadMode.Color))
using (IplImage grayImg = new IplImage(colorImg.Size, BitDepth.U8, 1))
{
// (2)ROIの設定と二値化処理
colorImg.CvtColor(grayImg, ColorConversion.BgrToGray);
CvRect roi = new CvRect(0, 0, colorImg.Width / 2, colorImg.Height / 2);
grayImg.SetROI(roi);
colorImg.SetROI(roi);
grayImg.Threshold(grayImg, 90, 255, ThresholdType.Binary);
// (3)xmlファイルへの書き出し
using (CvFileStorage fs = new CvFileStorage(fileName, null, FileStorageMode.Write))
{
fs.WriteComment("This is a comment line.", false);
fs.Write("color_img", colorImg);
fs.StartNextStream();
fs.Write("gray_img", grayImg);
}
// (4)書きこんだxmlファイルを開く
//using (Process p = Process.Start(fileName)) {
// p.WaitForExit();
//}
}
}
public ConvertToBitmap()
{
Bitmap bitmap = null;
// do cvThreshold
using (IplImage src = new IplImage(FilePath.Image.Lenna, LoadMode.GrayScale))
using (IplImage dst = new IplImage(src.Size, BitDepth.U8, 1))
{
src.Smooth(src, SmoothType.Gaussian, 5);
src.Threshold(dst, 0, 255, ThresholdType.Otsu);
// IplImage -> Bitmap
bitmap = dst.ToBitmap();
//bitmap = BitmapConverter.ToBitmap(dst);
}
// visualize using WindowsForm
Form form = new Form
{
Text = "from IplImage to Bitmap",
ClientSize = bitmap.Size,
};
PictureBox pictureBox = new PictureBox
{
Dock = DockStyle.Fill,
SizeMode = PictureBoxSizeMode.StretchImage,
Image = bitmap
};
form.Controls.Add(pictureBox);
form.ShowDialog();
form.Dispose();
bitmap.Dispose();
}
public Threshold()
{
using (IplImage src = new IplImage(Const.ImageLenna, LoadMode.Color))
using (IplImage srcGray = new IplImage(src.Size, BitDepth.U8, 1))
using (IplImage dst = new IplImage(src.Size, BitDepth.U8, 1))
using (CvWindow window = new CvWindow("SampleThreshold"))
{
src.CvtColor(srcGray, ColorConversion.BgrToGray);
srcGray.Smooth(srcGray, SmoothType.Gaussian, 5);
int threshold = 90;
window.CreateTrackbar("threshold", threshold, 255, delegate(int pos)
{
srcGray.Threshold(dst, pos, 255, ThresholdType.Binary);
window.Image = dst;
});
srcGray.Threshold(dst, threshold, 255, ThresholdType.Binary);
window.Image = dst;
CvWindow.WaitKey();
}
}
public ConvertToBitmap()
{
Bitmap bitmap = null;
// OpenCVによる画像処理 (Threshold)
using (IplImage src = new IplImage(Const.ImageLenna, LoadMode.GrayScale))
using (IplImage dst = new IplImage(src.Size, BitDepth.U8, 1))
{
src.Smooth(src, SmoothType.Gaussian, 5);
src.Threshold(dst, 0, 255, ThresholdType.Otsu);
// IplImage -> Bitmap
bitmap = dst.ToBitmap();
//bitmap = BitmapConverter.ToBitmap(dst);
}
// WindowsFormに表示してみる
Form form = new Form
{
Text = "from IplImage to Bitmap",
ClientSize = bitmap.Size,
};
PictureBox pictureBox = new PictureBox
{
Dock = DockStyle.Fill,
SizeMode = PictureBoxSizeMode.StretchImage,
Image = bitmap
};
/*
Imageプロパティに設定するのはもしかするとちょっと微妙、できればこのように
pictureBox.Paint += delegate(object sender, PaintEventArgs e) {
e.Graphics.DrawImage(bitmap, new Rectangle(new Point(0, 0), form.ClientSize));
};
*/
form.Controls.Add(pictureBox);
form.ShowDialog();
form.Dispose();
bitmap.Dispose();
}
/// <summary>
///
/// </summary>
/// <param name="fileName"></param>
private static void SampleFileStorageWriteImage(string fileName)
{
// cvWrite, cvWriteComment
using (IplImage colorImg = new IplImage(FilePath.Image.Lenna, LoadMode.Color))
using (IplImage grayImg = new IplImage(colorImg.Size, BitDepth.U8, 1))
{
colorImg.CvtColor(grayImg, ColorConversion.BgrToGray);
CvRect roi = new CvRect(0, 0, colorImg.Width / 2, colorImg.Height / 2);
grayImg.SetROI(roi);
colorImg.SetROI(roi);
grayImg.Threshold(grayImg, 90, 255, ThresholdType.Binary);
using (CvFileStorage fs = new CvFileStorage(fileName, null, FileStorageMode.Write))
{
fs.WriteComment("This is a comment line.", false);
fs.Write("color_img", colorImg);
fs.StartNextStream();
fs.Write("gray_img", grayImg);
}
}
}
/// <summary>
/// 認識処理を行う
/// </summary>
/// <param name="imagePath">認識対象の画像パス</param>
/// <param name="isDebug">デバッグモード</param>
/// <returns></returns>
public static String Recognize(String imagePath, bool isDebug = false)
{
List<String> results = new List<string>();
// 検出対象の画像を読み込み
IplImage src = new IplImage(imagePath, LoadMode.GrayScale);
using (IplImage tmpImage = new IplImage(src.Size, BitDepth.U8, 1))
{
// 1)検出前処理
// エッジ強調
src.UnsharpMasking(src, 3);
// 大津の手法による二値化処理
// 大津, "判別および最小２乗基準に基づく自動しきい値選定法", 電子通信学会論文誌, Vol.J63-D, No.4, pp.349-356, 1980.
src.Threshold(tmpImage, 200, 250, ThresholdType.Otsu);
src.Dispose();
Dictionary<int, List<double>> shapeMatchResults = new Dictionary<int, List<double>>();
List<string> answerFileNames = washTagDictionary.Keys.ToList();
foreach (var answerFileName in answerFileNames)
{
var washTagInfo = washTagDictionary[answerFileName];
var answerImagePath = String.Format(@"answer\{0}.png", answerFileName);
// 2) 検出処理
var resultSURF = SURF(tmpImage, answerImagePath, isDebug);
// 3) 検出候補の評価
string result = null;
// その１：頂点がある場合
if (resultSURF.dstCorners != null)
{
// TODO:平面評価
//result = fileBaseName + " : " + washTagDictionary[fileBaseName];
}
// その２：形状マッチング
if (result == null && resultSURF.findPointList.Count > 0)
{
// ROIの1辺は、横に4つ位入る大きさで（何となくｗ）
CvSize roiSize = new CvSize(tmpImage.Width / 4, tmpImage.Width / 4);
List<double> matchResults = new List<double>();
foreach (var findPoint in resultSURF.findPointList)
{
// ROIを設定
tmpImage.SetROI(
(int)findPoint.Pt.X - roiSize.Width / 2,
(int)findPoint.Pt.Y - roiSize.Height / 2,
roiSize.Width, roiSize.Height
);
// Huモーメントによる形状マッチング [回転・スケーリング・反転に強い]
matchResults.Add(
CompareShapeMoment(tmpImage, answerImagePath, MatchShapesMethod.I1)
);
// ROIをリセット
tmpImage.ResetROI();
}
// 閾値以下だった場合に検出と見なす
if (matchResults.Min() < 0.005)
{
// カテゴリに値が無ければ確保
if (shapeMatchResults.ContainsKey(washTagInfo.CategoryNo) == false)
{
shapeMatchResults.Add(washTagInfo.CategoryNo, new List<double>());
}
shapeMatchResults[washTagInfo.CategoryNo].Add(matchResults.Min());
}
}
}
// 4)認識結果の整理
foreach (var categoryNo in shapeMatchResults.Keys)
{
var matchResult = shapeMatchResults[categoryNo];
var min = matchResult.Min();
var index = matchResult.FindIndex((x) =>
{
return x == min;
});
var id = String.Format("{0:0}{1:00}", categoryNo, index + 1);
var recognitionWashTag = washTagDictionary[id];
// 結果を格納
results.Add(
String.Format(isDebug ? "{0} : {1} ({2})" : "{0} : {1}", id, recognitionWashTag.Description, min)
);
}
// デバッグ表示
if (isDebug)
{
using (CvWindow win = new CvWindow("image", tmpImage))
{
CvWindow.WaitKey();
}
}
}
return results.Count > 0
? String.Join("\n", results.ToArray())
: "検出する事が出来ませんでした。";
}
private void OnClick_マスク画像(object sender, EventArgs e)
{
OpenFileDialog dialog = new OpenFileDialog()
{
Multiselect = false, // 複数選択の可否
Filter = // フィルタ
"画像ファイル|*.bmp;*.gif;*.jpg;*.png|全てのファイル|*.*",
};
//ダイアログを表示
DialogResult result = dialog.ShowDialog();
if (result == DialogResult.OK)
{
// ファイル名をタイトルバーに設定
this.Text = dialog.SafeFileName;
if (マスク画像 != null) マスク画像.Dispose();
if (背景 != null) 背景.Dispose();
マスク画像 = Cv.LoadImage(dialog.FileName, LoadMode.GrayScale);
マスク画像.Threshold(マスク画像,254,255,ThresholdType.Binary);
背景 = マスク画像.Clone();
if (マスク画像 != null && 検査対象 != null)
{
合成画像 = 検査対象.Clone();
合成画像 = 画像合成(検査対象, マスク画像);
背景 = 合成画像;
}
//評価画面.Instance.Show();
pictureBoxIpl1.ImageIpl = 背景;
System.Diagnostics.Debug.WriteLine("マスク画像の平均＝" + マスク画像.Avg().Val0.ToString("f"));
}
}
