private static string compareImagesToDefn(string dir, string pattern, string defFileName)
{
// "-r" = recursively search subdirectories for files that match pattern
List <string> filenames = getFiles(dir, pattern);
Console.WriteLine("Compare images to: " + defFileName);
Image defImage = new Image(32, 32);
defImage.LoadImage(defFileName);
string output = "";
foreach (string fileName in filenames)
{
Console.WriteLine(fileName);
Image testImage = new Image();
testImage.LoadImage(fileName);
Metrics.ImageDistance id = new Metrics.ImageDistance(defImage, testImage);
double distance = id.distance(Metrics.ImageDistance.HAUSDORFF);
// output += defFileName.Replace(@"C:\Users\sketchers\Documents\Trunk\Data\TrainingResults\Context","") + ", ";
// output += fileName.Replace(@"C:\Users\sketchers\Documents\Trunk\Data\Context Symbols\TEST","") + ", ";
output += defFileName + ", ";
output += fileName + ", ";
output += distance + ", \n";
}
return(output);
}
private static string compareImagesByTestFile(string dir, string pattern, List <string> defFileNames)
{
// "-r" = recursively search subdirectories for files that match pattern
List <string> testFiles = getFiles(dir, pattern);
//Set up column headings
string output = "Testfile , ";
foreach (string df in defFileNames)
{
output += df + ", ";
}
output += "Best Guess, minDist, \n";
foreach (string tf in testFiles)
{
Console.WriteLine(tf);
Image testImage = new Image();
testImage.LoadImage(tf);
output += tf + ", ";
double minDistance = Double.MaxValue;
string bestGuess = "NONE";
foreach (string df in defFileNames)
{
Image defImage = new Image(32, 32);
defImage.LoadImage(df);
Metrics.ImageDistance id = new Metrics.ImageDistance(defImage, testImage);
double distance = id.distance(Metrics.ImageDistance.HAUSDORFF);
if (distance < minDistance)
{
minDistance = distance;
bestGuess = df;
}
output += distance + ", ";
}
output += bestGuess + ", " + minDistance + ", \n";
}
return(output);
}
/// <summary>
/// Finds the amount to move each column by translating all of the columns and finding the best one.
/// </summary>
/// <param name="A">Image to match to</param>
/// <param name="cols">Number of columns to best translation</param>
/// <param name="dist">Best distance</param>
public void findBestTranslation(DefinitionImage A, out int cols, out double bestDist)
{
double dist;
bestDist = double.PositiveInfinity;
cols = -1;
Image translated = new Image(this);
Metrics.ImageDistance id;
//Go over the potential column translations
int i, len = _width;
for (i = 0; i < len; ++i)
{
//Store the translation in translated
TranslateMatrix(i, ref matrix, ref translated.matrix);
//dist = id.distance(Metrics.ImageDistance.DIRECTEDMODIFIEDHAUSDORFF_AB);
//dist = id.distance(Metrics.ImageDistance.TANIMOTO) + id.distance(Metrics.ImageDistance.YULE);
//dist = id.distance(Metrics.ImageDistance.VERTICAL);
//dist = id.distance(Metrics.ImageDistance.DIRECTEDHAUSDORFF_AB);
//dist = id.distance(Metrics.ImageDistance.OVERLAPPING_AB);
//dist = id.distance(Metrics.ImageDistance.HORIZONTAL);
//id = new Metrics.ImageDistance(translated, A.Polar);
//dist = id.distance(Metrics.ImageDistance.TANIMOTO) * id.distance(Metrics.ImageDistance.YULE);
id = new Metrics.ImageDistance(translated, A.PolarTransform);
dist = id.distance(Metrics.ImageDistance.DIRECTEDMODIFIEDHAUSDORFF_AB);
if (dist < bestDist)
{
bestDist = dist;
cols = i;
}
}
}