/// <summary>
///
/// </summary>
/// <param name="input_img">original image</param>
/// <param name="type"></param>
/// <returns></returns>
public static List <Image <Gray, byte> > find_all_possible_plates(Image <Gray, byte> input_img, Plate_feature.type_of_plate type)
{
Image <Gray, byte> blur = Image_utils.gaussian_blur(input_img);
Image <Gray, byte> sobelx = Image_utils.sobel_X(blur).Convert <Gray, byte>();
Image <Gray, byte> adaptive = Image_utils.adaptive_threshold(sobelx);
Image <Gray, byte> morp = Image_utils.morphology_ex(adaptive, Plate_feature.type_of_plate.RECT_PLATE);
VectorOfVectorOfPoint contours = Image_utils.find_all_contours(morp);
List <Image <Gray, byte> > approved_plates = new List <Image <Gray, byte> >();
for (int i = 0; i < contours.Size; i++)
{
double area = CvInvoke.ContourArea(contours[i]);
Rectangle r = CvInvoke.BoundingRectangle(contours[i]);
RotatedRect rr = CvInvoke.MinAreaRect(contours[i]);
Image <Gray, byte> suspected_plate = input_img.Copy(r);
Tuple <Image <Gray, byte>, Rectangle> after_clean_plate_tuple;
Tuple <bool, List <Image <Gray, byte> > > after_check_plate_has_characters_tuple;
if (!Plate_feature.ratio_check(type, area, r.Width, r.Height))
{
continue;
}
else
{
if (!Plate_feature.validate_rotation_and_ratio(type, rr))
{
continue;
}
else
{
after_clean_plate_tuple = clean_plate(suspected_plate, type);
after_check_plate_has_characters_tuple = check_plate_has_character(after_clean_plate_tuple.Item1, type);
if (!after_check_plate_has_characters_tuple.Item1)
{
continue;
}
else
{
approved_plates = after_check_plate_has_characters_tuple.Item2;
}
}
}
}
return(approved_plates);
}