/// <summary>
/// Add the image created by substrokes into the current image, no normalize
/// </summary>
/// <param name="substrokes">Substrokes to add to current image</param>
private void addDefinition(Substrokes substrokes)
{
DefinitionImage di = new DefinitionImage(m_width, m_height, substrokes);
m_image.matrix.Add(di.m_image.matrix);
m_polar.matrix.Add(di.m_polar.matrix);
m_imageTransform.matrix.Add(di.m_imageTransform.matrix);
m_polarTransform.matrix.Add(di.m_polarTransform.matrix);
//for single images
m_rotatedImages = di.m_rotatedImages;
//This is used to specify that all of the following images should match the first images orientation.
//This is particularly useful when creating the average image ;)!
if (m_matches.Count == 0)
{
m_matches.Add(di);
}
if (true)
{
di.Main.writeToBitmap("main" + counter.ToString() + ".bmp");
di.Polar.writeToBitmap("polar" + counter.ToString() + ".bmp");
}
++counter;
/* Do not normalize here.
* We will do that after the whole list from addDefinition(List<>) has been added.
*/
}
/// <summary>
/// Finds the amount to translate each column, and translates that amount.
/// </summary>
/// <param name="A">Image to match to</param>
/// <param name="angle">The angle in radians that the image was translated</param>
/// <param name="bestDist">The dist of the best match</param>
public void translateToMatch(DefinitionImage A, out double angle, out double bestDist)
{
//Find the best amount to move cols
int colsToTranslate;
findBestTranslation(A, out colsToTranslate, out bestDist);
translate(colsToTranslate);
angle = colsToAngle(colsToTranslate);
}
private void addDefinition(Substrokes substrokes, DefinitionImage matchTo)
{
DefinitionImage di = new DefinitionImage(m_width, m_height, substrokes, matchTo);
m_image.matrix.Add(di.m_image.matrix);
m_polar.matrix.Add(di.m_polar.matrix);
m_imageTransform.matrix.Add(di.m_imageTransform.matrix);
m_polarTransform.matrix.Add(di.m_polarTransform.matrix);
if (true)
{
di.Main.writeToBitmap("out" + counter.ToString() + ".bmp");
}
++counter;
}
/// <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;
}
}
}
public DefinitionImage(int width, int height, Substrokes substrokes, DefinitionImage matchTo)
: this(width, height, substrokes, new List <DefinitionImage>(new DefinitionImage[] { matchTo }))
{
}
public static void AddMatch(DefinitionImage A)
{
m_matches.Add(A);
}