/* Match templates to given image, if defects found then return 1, else return 0: */
public int Match_templates(Mat image, List <Mat> templates)
{
Image <Bgr, Byte> img = image.ToImage <Bgr, Byte>();
Image <Gray, Byte> img_mask = new Image <Gray, Byte>(image.Size.Width, image.Size.Height);
Mat res = new Mat();
List <MinMax_info> found = new List <MinMax_info>();
double min_val = 0;
double max_val = 0;
Point min_loc = new Point();
Point max_loc = new Point();
foreach (Mat temp in templates)
{
CvInvoke.MatchTemplate(image, temp, res, TemplateMatchingType.CcoeffNormed);
CvInvoke.Threshold(res, res, threshold, 255, ThresholdType.ToZero);
while (true)
{
CvInvoke.MinMaxLoc(res, ref min_val, ref max_val, ref min_loc, ref max_loc, null);
if (max_val >= threshold)
{
var MinMax_to_add = new MinMax_info
{
max_val = max_val,
temp_size = temp.Size,
max_loc = max_loc
};
found.Add(MinMax_to_add);
var box_size = new Size
{
Width = Convert.ToInt32(Math.Round(temp.Size.Width / 1.5)),
Height = Convert.ToInt32(Math.Round(temp.Size.Height / 1.5))
};
Rectangle img_box = new Rectangle(max_loc, box_size);
CvInvoke.Rectangle(img, img_box, new MCvScalar(0, 0, 255), 1, LineType.EightConnected, 0);
CvInvoke.Rectangle(res, img_box, new MCvScalar(0, 0, 255), -1, LineType.EightConnected, 0);
CvInvoke.Rectangle(img_mask, img_box, new MCvScalar(255, 255, 255), -1, LineType.EightConnected, 0);
}
else
{
break;
}
}
}
CvInvoke.NamedWindow("Image", NamedWindowType.Normal);
CvInvoke.Imshow("Image", img);
CvInvoke.WaitKey();
CvInvoke.DestroyAllWindows();
CvInvoke.NamedWindow("Image", NamedWindowType.Normal);
CvInvoke.Imshow("Image", img_mask);
CvInvoke.WaitKey();
CvInvoke.DestroyAllWindows();
Console.WriteLine(found.Count);
return(0);
}
/* Finds barcode in a given Image:
* Returns Mat containing barcode only. */
public Mat Find_barcode(Mat img)
{
//var img = CvInvoke.Imread(img_path, ImreadModes.Color);
/* Load in templates: */
List <Mat> template = new List <Mat>();
Image <Bgr, Byte> imgCV = new Image <Bgr, byte>(Properties.Resources.barcode4);
Mat imgMAT = imgCV.Mat;
template.Add(imgMAT);
var resized = new Mat();
var res = new Mat();
/* Barcode location Information initilization: */
MinMax_info found;
found.is_none = true;
found.max_val = 0;
found.bottom_right = new Point(0, 0);
found.top_left = new Point(0, 0);
/* set up linspace loop for templates scaling: */
double start_val = 1;
double stop_val = 4;
double step_val = Linspace_step(start_val, stop_val, 10);
double min_val = 0; double max_val = 0; Point min_loc = new Point(); Point max_loc = new Point();
/* Loop through scale increments to find barcode location: */
for (int i = 0; i < template.Count; i++)
{
for (double scale = start_val; scale < stop_val; scale += step_val)
{
CvInvoke.Resize(template[i], resized, new System.Drawing.Size(Convert.ToInt32(scale * template[i].Size.Width), Convert.ToInt32(scale * template[i].Size.Height)));
if (template[i].Size.Height < img.Size.Height && template[i].Size.Width < img.Size.Width)
{
CvInvoke.MatchTemplate(img, resized, res, TemplateMatchingType.CcoeffNormed);
CvInvoke.MinMaxLoc(res, ref min_val, ref max_val, ref min_loc, ref max_loc, null);
if (found.is_none == true || max_val > found.max_val)
{
found.is_none = false;
found.max_val = max_val;
found.top_left = max_loc;
found.bottom_right.X = max_loc.X + resized.Size.Width;
found.bottom_right.Y = max_loc.Y + resized.Size.Height;
}
}
}
}
int offset = -10;
Rectangle img_box = new Rectangle(found.top_left.X - offset, found.top_left.Y - offset, found.bottom_right.X - found.top_left.X + offset, found.bottom_right.Y - found.top_left.Y + offset);
barcode_info = found;
return(Crop_image(img, img_box));
}
