void ImageResizer::HorizontalPadding(const ImageLib::ImageGray & Source, ImageLib::ImageGray & Destination) {
int Size = Destination.height();
int OldSize = Source.height();
int Padding = (Size - OldSize) / 2;
for (int y = 0; y < Padding; y++)
for (int x = 0; x < Size; x++)
Destination.at(x, y) = 255;
for (int y = Padding; y < OldSize + Padding; y++)
for (int x = 0; x < Size; x++)
Destination.at(x, y) = Source.at(x,y - Padding);
int adPadding = Padding * 2;
if (((Size - OldSize) % 2) != 0) {
adPadding += 1;
}
for (int y = OldSize + Padding; y < OldSize + adPadding; y++)
for (int x = 0; x < OldSize; x++)
Destination.at(x, y) = 255;
}
ImageLib::ImageGray ImageResizer::PutImageIn1x1Ratio(const ImageLib::ImageGray & Image) {
int OldSize;
int Size;
if (Image.width() < Image.height()) {
Size = Image.height();
OldSize = Image.width();
ImageLib::ImageGray ReturnImage = ImageLib::ImageGray(Size, Size);
VerticalPadding(Image, ReturnImage);
return ReturnImage;
}
else {
Size = Image.width();
OldSize = Image.height();
ImageLib::ImageGray ReturnImage = ImageLib::ImageGray(Size, Size);
HorizontalPadding(Image, ReturnImage);
return ReturnImage;
}
}
inline Segmentation::YIndexes Segmentation::GetYIndexes(const ImageLib::ImageGray & Img) {
Histogram HorizontalHistogram(Img.height());
HorizontalHistogram.CreateHorizontalHistogram(Img);
//HorizontalHistogram.Save("HorizontalHistogram");
YIndexes Indexes;
Indexes.Y1 = 0;
Indexes.Y2 = Img.height();
bool LookingForY1 = true;
float MinValueY = HorizontalHistogram.MinValue() + MARGE;
for (int i = 0; i < HorizontalHistogram.Length(); i++) {
if (HorizontalHistogram[i] > MinValueY && LookingForY1) {
Indexes.Y1 = i;
LookingForY1 = false;
}
else if (HorizontalHistogram[i] < MinValueY && !LookingForY1) {
Indexes.Y2 = i;
break;
}
}
return Indexes;
}
ImageLib::ImageGray ImageResizer::ScaleTo(const ImageLib::ImageGray & Image, int Size) {
ImageLib::ImageGray ReturnImage = ImageLib::ImageGray(Size, Size);
ImageLib::ImageGray SourceImage = PutImageIn1x1Ratio(Image);
float Scale = (float)SourceImage.width() / (float)Size;
for (int y = 0; y < Size; y++)
for (int x = 0; x < Size; x++) {
int oldX = (int)(round(Scale * (float)x + 0.0f * (float)y));
int oldY = (int)(round(0.0f * (float)x + Scale * (float)y));
if (oldX >= 0 && oldX < SourceImage.width() && oldY >= 0 && oldY < SourceImage.height())
ReturnImage.at(x, y) = SourceImage.at(oldX, oldY);
else
ReturnImage.at(x, y) = 150;
}
return ReturnImage;
}
char StaticOCR::Apply(const ImageLib::ImageGray & Img) {
ImageLib::ImageGray Image = ImageResizer::ScaleTo(Img, 60);
//ImageLib::saveImg(Image, "Resized.bmp");
int imageWidth = Image.width();
int imageHeight = Image.height();
int blockHeight = imageHeight / 3;
int blockWidth = imageWidth / 3;
float pixelCount = 0;
//Loop through all the percentage blocks of the image.
for (int blockY = 0; blockY < 3; blockY++) {
for (int blockX = 0; blockX < 3; blockX++) {
//Loop trough a single block
for (int imageY = blockHeight * blockY; imageY < blockHeight * (blockY + 1); imageY++) {
for (int imageX = blockWidth * blockX; imageX < blockWidth * (blockX + 1); imageX++) {
//Check wether the pixelvalue is black.
if (Image.at(imageX, imageY) < 80) {
//If so increase the pixelcount
pixelCount++;
}
}
}
//Calculate the percentage and store it in the blockpercentage array.
percentages[blockX + (blockY * 3)] = (pixelCount / (blockHeight * blockWidth) * 100);
pixelCount = 0;
}
}
char c;
for (int i = 0; i < MAX_ITERATIONS; i++) {
c = compareAllBlocks(marge + (i * extra_marge));
if (c != '#')
break;
}
return c;
}