public TemplateBuilder Extract(byte[,] invertedImage, int dpi)
{
TemplateBuilder template = null;
DpiAdjuster.Adjust(this, dpi, delegate()
{
byte[,] image = ImageInverter.GetInverted(invertedImage);
BlockMap blocks = new BlockMap(new Size(image.GetLength(1), image.GetLength(0)), BlockSize);
Logger.Log("BlockMap", blocks);
short[, ,] histogram = Histogram.Analyze(blocks, image);
short[, ,] smoothHistogram = Histogram.SmoothAroundCorners(blocks, histogram);
BinaryMap mask = Mask.ComputeMask(blocks, histogram);
float[,] equalized = Equalizer.Equalize(blocks, image, smoothHistogram, mask);
byte[,] orientation = Orientation.Detect(equalized, mask, blocks);
float[,] smoothed = RidgeSmoother.Smooth(equalized, orientation, mask, blocks);
float[,] orthogonal = OrthogonalSmoother.Smooth(smoothed, orientation, mask, blocks);
BinaryMap binary = Binarizer.Binarize(smoothed, orthogonal, mask, blocks);
binary.AndNot(BinarySmoother.Filter(binary.GetInverted()));
binary.Or(BinarySmoother.Filter(binary));
Logger.Log("ResultadoSmoothingBinario", binary);
CrossRemover.Remove(binary);
BinaryMap pixelMask = mask.FillBlocks(blocks);
BinaryMap innerMask = InnerMask.Compute(pixelMask);
BinaryMap inverted = binary.GetInverted();
inverted.And(pixelMask);
SkeletonBuilder ridges = null;
SkeletonBuilder valleys = null;
Parallel.Invoke(
() => { ridges = ProcessSkeleton("Ridges", binary); },
() => { valleys = ProcessSkeleton("Valleys", inverted); });
template = new TemplateBuilder();
template.OriginalDpi = dpi;
template.OriginalWidth = invertedImage.GetLength(1);
template.OriginalHeight = invertedImage.GetLength(0);
MinutiaCollector.Collect(ridges, TemplateBuilder.MinutiaType.Extremidade, template);
MinutiaCollector.Collect(valleys, TemplateBuilder.MinutiaType.Bifurcação, template);
MinutiaMask.Filter(template, innerMask);
StandardDpiScaling.Scale(template);
MinutiaCloudRemover.Filter(template);
UniqueMinutiaSorter.Filter(template);
MinutiaSorter.Shuffle(template);
Logger.Log("FinalTemplate", template);
});
return(template);
}
public TemplateBuilder Extract(byte[,] invertedImage, int dpi)
{
TemplateBuilder template = null;
DpiAdjuster.Adjust(this, dpi, delegate()
{
byte[,] image = ImageInverter.GetInverted(invertedImage); //图片反色，黑《--》白
//var watch = Stopwatch.StartNew();
//watch.Start();
BlockMap blocks = new BlockMap(new Size(image.GetLength(1), image.GetLength(0)), BlockSize); //将图片数组转换为blockmap,对图片进行分块，方便进行并行计算
Logger.Log("BlockMap", blocks); //可能是用于调试时的log输出
//watch.Start();
short[, ,] histogram = Histogram.Analyze(blocks, image);
//watch.Stop();
//Console.WriteLine("---------------------------histogram实例化时间：{0}",watch.ElapsedMilliseconds);
//watch.Start();
short[, ,] smoothHistogram = Histogram.SmoothAroundCorners(blocks, histogram);
BinaryMap mask = Mask.ComputeMask(blocks, histogram);
float[,] equalized = Equalizer.Equalize(blocks, image, smoothHistogram, mask);
//watch.Stop();
//Console.WriteLine("----------------------------equalized实例化时间：{0}",watch.ElapsedMilliseconds);
byte[,] orientation = Orientation.Detect(equalized, mask, blocks);
equalizedMap = GdiIO.GetBitmap(ShowImage.floatToByte(equalized));
float[,] smoothed = RidgeSmoother.Smooth(equalized, orientation, mask, blocks);
float[,] orthogonal = OrthogonalSmoother.Smooth(smoothed, orientation, mask, blocks);
BinaryMap binary = Binarizer.Binarize(smoothed, orthogonal, mask, blocks);
binary.AndNot(BinarySmoother.Filter(binary.GetInverted()));
binary.Or(BinarySmoother.Filter(binary));
Logger.Log("BinarySmoothingResult", binary);
CrossRemover.Remove(binary);
BinaryMap pixelMask = mask.FillBlocks(blocks);
BinaryMap innerMask = InnerMask.Compute(pixelMask);
BinaryMap inverted = binary.GetInverted();
inverted.And(pixelMask);
SkeletonBuilder ridges = null;
SkeletonBuilder valleys = null;
Parallel.Invoke(
() => { ridges = ProcessSkeleton("Ridges", binary); },
() => { valleys = ProcessSkeleton("Valleys", inverted); });
template = new TemplateBuilder();
template.OriginalDpi = dpi;
template.OriginalWidth = invertedImage.GetLength(1);
template.OriginalHeight = invertedImage.GetLength(0);
MinutiaCollector.Collect(ridges, TemplateBuilder.MinutiaType.Ending, template);
MinutiaCollector.Collect(valleys, TemplateBuilder.MinutiaType.Bifurcation, template);
MinutiaMask.Filter(template, innerMask);
StandardDpiScaling.Scale(template);
MinutiaCloudRemover.Filter(template);
UniqueMinutiaSorter.Filter(template);
MinutiaSorter.Shuffle(template);
Logger.Log("FinalTemplate", template);
//watch.Stop();
//Console.WriteLine("---------------------------Template实例化时间：{0}",watch.ElapsedMilliseconds);
});
return(template);
}
public TemplateBuilder Extract(byte[,] invertedImage, int dpi)
{
TemplateBuilder template = null;
DpiAdjuster.Adjust(this, dpi, delegate()
{
byte[,] image = ImageInverter.GetInverted(invertedImage);
BlockMap blocks = new BlockMap(new Size(image.GetLength(1), image.GetLength(0)), BlockSize);
Logger.Log("BlockMap", blocks);
//Testing Start
var outFileDir = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.DesktopDirectory), "bloackMapOut" + DateTime.Now.Second + ".bin");
var outFileText = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.Desktop),
"blockMapTextOut" + DateTime.Now.Second + ".txt");
var file = new FileStream(outFileDir, FileMode.CreateNew);
var binWrite = new BinaryWriter(file);
TextWriter tw = new StreamWriter(outFileText);
LogSize(blocks.PixelCount, binWrite, tw, "PixelCount");
LogSize(blocks.BlockCount, binWrite, tw, "BlockCount");
LogSize(blocks.CornerCount, binWrite, tw, "CornerCount");
LogRectangleC(blocks.AllBlocks, binWrite, tw, "AllBlocks");
LogRectangleC(blocks.AllCorners, binWrite, tw, "AllCorners");
LogPointGrid(blocks.Corners, binWrite, tw, "Corners");
LogRectangleGrid(blocks.BlockAreas, binWrite, tw, "BlockAreas");
LogPointGrid(blocks.BlockCenters, binWrite, tw, "BlockCenters");
LogRectangleGrid(blocks.CornerAreas, binWrite, tw, "CornerAreas");
binWrite.Close();
tw.Close();
//Testing End
short[,,] histogram = Histogram.Analyze(blocks, image);
////testing
//var outFileDir = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.DesktopDirectory), "histogramImageInput" + ".bin");
//var file = new FileStream(outFileDir, FileMode.CreateNew);
//var binWrite = new BinaryWriter(file);
//binWrite.Write(image.GetLength(0));
//binWrite.Write(image.GetLength(1));
//for (var i = 0; i < image.GetLength(0); i++)
//{
// for (var j = 0; j < image.GetLength(1); j++)
// {
// binWrite.Write(image[i, j]);
// }
//}
//binWrite.Close();
////End testing
////Testing Start
//Count++;
//var outFileDir = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.DesktopDirectory), "histogramOut" + Count + ".bin");
//var outFileText = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.Desktop),
// "histogramTextOut" + Count + ".txt");
//var file = new FileStream(outFileDir, FileMode.CreateNew);
//var binWrite = new BinaryWriter(file);
//TextWriter tw = new StreamWriter(outFileText);
//binWrite.Write(histogram.GetLength(0));
//tw.WriteLine(histogram.GetLength(0));
//binWrite.Write(histogram.GetLength(1));
//tw.WriteLine(histogram.GetLength(1));
//binWrite.Write(histogram.GetLength(2));
//tw.WriteLine(histogram.GetLength(2));
//for (var i = 0; i < histogram.GetLength(0); i++)
//{
// for (var j = 0; j < histogram.GetLength(1); j++)
// {
// for (var k = 0; k < histogram.GetLength(2); k++)
// {
// binWrite.Write(histogram[i, j, k]);
// tw.WriteLine(histogram[i, j, k]);
// }
// }
//}
//binWrite.Close();
//file.Close();
//tw.Close();
//Testing Finish
//Testing Start
//outFileDir = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.DesktopDirectory), "bloackMapOutPostHis" + DateTime.Now.Second + ".bin");
//outFileText = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.Desktop),
// "blockMapTextOutPostHis" + DateTime.Now.Second + ".txt");
//file = new FileStream(outFileDir, FileMode.CreateNew);
//binWrite = new BinaryWriter(file);
//tw = new StreamWriter(outFileText);
//LogSize(blocks.PixelCount, binWrite, tw);
//LogSize(blocks.BlockCount, binWrite, tw);
//LogSize(blocks.CornerCount, binWrite, tw);
//LogRectangleC(blocks.AllBlocks, binWrite, tw);
//LogRectangleC(blocks.AllCorners, binWrite, tw);
//LogPointGrid(blocks.Corners, binWrite, tw);
//LogRectangleGrid(blocks.BlockAreas, binWrite, tw);
//LogPointGrid(blocks.BlockCenters, binWrite, tw);
//LogRectangleGrid(blocks.CornerAreas, binWrite, tw);
//binWrite.Close();
//tw.Close();
//Testing End
short[,,] smoothHistogram = Histogram.SmoothAroundCorners(blocks, histogram);
BinaryMap mask = Mask.ComputeMask(blocks, histogram);
float[,] equalized = Equalizer.Equalize(blocks, image, smoothHistogram, mask);
byte[,] orientation = Orientation.Detect(equalized, mask, blocks);
float[,] smoothed = RidgeSmoother.Smooth(equalized, orientation, mask, blocks);
float[,] orthogonal = OrthogonalSmoother.Smooth(smoothed, orientation, mask, blocks);
BinaryMap binary = Binarizer.Binarize(smoothed, orthogonal, mask, blocks);
binary.AndNot(BinarySmoother.Filter(binary.GetInverted()));
binary.Or(BinarySmoother.Filter(binary));
Logger.Log("BinarySmoothingResult", binary);
CrossRemover.Remove(binary);
BinaryMap pixelMask = mask.FillBlocks(blocks);
BinaryMap innerMask = InnerMask.Compute(pixelMask);
BinaryMap inverted = binary.GetInverted();
inverted.And(pixelMask);
SkeletonBuilder ridges = null;
SkeletonBuilder valleys = null;
Parallel.Invoke(
() => { ridges = ProcessSkeleton("Ridges", binary); },
() => { valleys = ProcessSkeleton("Valleys", inverted); });
template = new TemplateBuilder();
template.OriginalDpi = dpi;
template.OriginalWidth = invertedImage.GetLength(1);
template.OriginalHeight = invertedImage.GetLength(0);
MinutiaCollector.Collect(ridges, TemplateBuilder.MinutiaType.Ending, template);
MinutiaCollector.Collect(valleys, TemplateBuilder.MinutiaType.Bifurcation, template);
MinutiaMask.Filter(template, innerMask);
StandardDpiScaling.Scale(template);
MinutiaCloudRemover.Filter(template);
UniqueMinutiaSorter.Filter(template);
MinutiaSorter.Shuffle(template);
Logger.Log("FinalTemplate", template);
});
return(template);
}