////////////////////////////////////////////////////////////////////////////
/// <summary>
/// 取出ROI物體圖像
/// </summary>
/// <param name="filteredSkinObserved">過濾膚色的圖像</param>
/// <returns>回傳物體圖像</returns>
private Image <Bgr, Byte> GetObjectBoundingBoxImg(Image <Bgr, Byte> filteredSkinObserved)
{
//get bounding box
Image <Gray, Byte> gray = filteredSkinObserved.Convert <Gray, Byte>();
gray = DetectObjects.DoBinaryThreshold(gray, 0);
gray._Erode(5);
gray._Dilate(5);
new ImageViewer(gray).Show();
Contour <System.Drawing.Point> sceneContours = DetectObjects.DoContours(gray);
Contour <System.Drawing.Point> objectBox = DetectObjects.GetMaxContours(sceneContours);
Image <Bgr, byte> boxImg = DetectObjects.GetBoundingBoxImage(objectBox, filteredSkinObserved);
new ImageViewer(boxImg).Show();
return(boxImg);
}
/// <summary>
/// 膚色過濾
/// </summary>
/// <param name="observed">要對得觀察景象</param>
/// <returns>回傳過濾掉的膚色</returns>
private Image <Bgr, Byte> SkinFilter(Image <Bgr, Byte> observed)
{
Image <Bgr, Byte> dst = observed.Copy();
Image <Hsv, Byte> hsv = observed.Convert <Hsv, Byte>();
//皮膚偵測並填為黑
Image <Gray, Byte> skin = new Image <Gray, byte>(observed.Size);
CvInvoke.cvInRangeS(hsv, new MCvScalar(0, 58, 89), new MCvScalar(25, 173, 229), skin);
skin = FillHoles(skin); skin._Erode(2); skin._Dilate(2);
Contour <System.Drawing.Point> skinContours = DetectObjects.DoContours(skin);
Contour <System.Drawing.Point> max = DetectObjects.GetMaxContours(skinContours);
//new ImageViewer(DetectObjects.DrawMaxContoursOnImg(max, dst)).Show();
dst.Draw(max, new Bgr(0, 0, 0), -1);
//new ImageViewer(dst).Show();
return(dst);
}
private void drawContoursButton_Click(object sender, RoutedEventArgs e)
{
contoursImg = morphologyImg.Convert <Bgr, byte>();
contoursImgBox.Image = DetectObjects.DrawAllContoursOnImg(DetectObjects.DoContours(morphologyImg), contoursImg).Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR);
}
