public IImageBuffer RenderThumbnail(IImageBuffer image)
{
IImageBuffer resizedImage = null;
if (image.Width == 0 || image.Height == 0)
{
return(I.CreateRgbF32(0, 0));
}
Int2 size;
IntRect cropRect;
base.CalculateNewSize(new Int2(image.Width, image.Height), this.DesiredSize, out size, out cropRect);
if (image.Width <= size.X && image.Height <= size.Y)
{
return(image);
}
resizedImage = image.ToF32().Resize(size, cropRect, ResizeFilterType.Quadratic);
var f32image = resizedImage as I <float>;
if (f32image != null)
{
return(f32image.ToU8());
}
return(resizedImage);
}
public I <float> Crop(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] IntRect area
)
{
return(image.ToF32().Crop(area));
}
public int[][] CreateHistogramm(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int bins
)
{
return(image.ToF32().CreateHistogram(bins));
}
public I <float> Equalize(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int bins
)
{
return(image.ToF32().HistogramEqualization(bins));
}
public I <float> Filter(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] double weight
)
{
return(image.ToF32().FastDoGFilter(weight));
}
public int[] CreateChannelHistogram(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int bins,
[InputPin(PropertyMode = PropertyMode.Default)] int channel
)
{
return(image.ToF32().CreateChannelHistogram(bins, channel));
}
public I <float> Equalize(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int channel,
[InputPin(PropertyMode = PropertyMode.Default)] int bins
)
{
return(image.ToF32().EqualizeSingleChannel(channel, bins));
}
public I <float> Filter(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] double weight,
[InputPin(PropertyMode = PropertyMode.Default)] double scaling
)
{
return(image.ToF32().FastDivisionFilter(weight, scaling));
}
public I <float> ConvertColor(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] ColorSpaceConversionType conversion
)
{
var converter = GetConverter(conversion);
return(converter(image.ToF32()));
}
public I <float> Filter(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int matrixSize,
[InputPin(PropertyMode = PropertyMode.Default)] double weight,
[InputPin(PropertyMode = PropertyMode.Default)] double scaling
)
{
return(image.ToF32().DivisionOfGaussianFilter(matrixSize, weight, scaling));
}
public I <float> Filter(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int width,
[InputPin(PropertyMode = PropertyMode.Default)] int height,
[InputPin(PropertyMode = PropertyMode.Default)] ResizeFilterType resizeFilterType = ResizeFilterType.Lanczos8
)
{
return(image.ToF32().Resize(new Int2(width, height), resizeFilterType));
}
public IEnumerable <I <float> > Split(IImageBuffer image)
{
var img = image.ToF32();
for (int c = 0; c < img.Channels; ++c)
{
yield return(img.GetChannel(c));
}
}
public I <float> EqualizeAdaptive(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int bins,
[InputPin(PropertyMode = PropertyMode.Default)] int numTilesY,
[InputPin(PropertyMode = PropertyMode.Default)] int numTilesX,
[InputPin(PropertyMode = PropertyMode.Default)] double normalizedClipLimit
)
{
return(image.ToF32().AdaptiveHistogramEqualization(bins, numTilesY, numTilesX, normalizedClipLimit));
}
public int[] CreateChannelHistogramOfRect(
IImageBuffer image,
[InputPin(PropertyMode = PropertyMode.Default)] int startRow,
[InputPin(PropertyMode = PropertyMode.Default)] int startCol,
[InputPin(PropertyMode = PropertyMode.Default)] int height,
[InputPin(PropertyMode = PropertyMode.Default)] int width,
[InputPin(PropertyMode = PropertyMode.Default)] int bins,
[InputPin(PropertyMode = PropertyMode.Default)] int channel
)
{
return(image.ToF32().CreateChannelHistogramOfRect(startRow, startCol, height, width, bins, channel));
}
public IImageBuffer Calculate(IImageBuffer image1, IImageBuffer image2)
{
return(I.Divide(image1.ToF32(), image2.ToF32()));
}
public IImageBuffer Calculate(IImageBuffer image1, IImageBuffer image2)
{
return(I.Multiply(image1.ToF32(), image2.ToF32()));
}
public I <float> ConvertDepth(IImageBuffer image)
{
return(image.ToF32());
}
public I <float> Process(IImageBuffer image, [InputPin(PropertyMode = PropertyMode.Default)] double[] stepSize)
{
return(image.ToF32().Quantization(stepSize));
}
public I <float> Scale(IImageBuffer image, [InputPin(PropertyMode = PropertyMode.Default)] Range <double>[] inRange, [InputPin(PropertyMode = PropertyMode.Default)] Range <double>[] outRange, [InputPin(PropertyMode = PropertyMode.Default)] double[] gamma = null)
{
return(image.ToF32().ScaleRanges(inRange, outRange, gamma));
}
public I <float> Filter(IImageBuffer image)
{
return(image.ToF32().CenteringAroundMean());
}
public I <float> Saturate(IImageBuffer image, [InputPin(PropertyMode = PropertyMode.Default)] double saturationFactor = 0.01, [InputPin(PropertyMode = PropertyMode.Default)] int bins = 500)
{
return(image.ToF32().AutoSaturate(saturationFactor, bins));
}