/// <summary>
/// Downsample, and copy, the image contents into the data of this object.
/// Calling this method has no effect on the image, as the same image can be
/// downsampled multiple times to different resolutions.
/// </summary>
/// <param name="downsampler">The downsampler object to use.</param>
/// <param name="findBounds">Should the bounds be located and cropped.</param>
/// <param name="height">The height to downsample to.</param>
/// <param name="width">The width to downsample to.</param>
/// <param name="hi">The high value to normalize to.</param>
/// <param name="lo">The low value to normalize to.</param>
public void Downsample(IDownSample downsampler,
bool findBounds, int height, int width,
double hi, double lo)
{
if (findBounds)
{
downsampler.FindBounds();
}
double[] sample = downsampler.DownSample(this.Image, height,
width);
for (int i = 0; i < sample.Length; i++)
{
sample[i] = OutputFieldRangeMapped.Calculate(sample[i], 0,
255, hi, lo);
}
this.Data = sample;
}
/// <summary>
/// Downsample, and copy, the image contents into the data of this object.
/// Calling this method has no effect on the image, as the same image can be
/// downsampled multiple times to different resolutions.
/// </summary>
/// <param name="downsampler">The downsampler object to use.</param>
/// <param name="findBounds">Should the bounds be located and cropped.</param>
/// <param name="height">The height to downsample to.</param>
/// <param name="width">The width to downsample to.</param>
/// <param name="hi">The high value to normalize to.</param>
/// <param name="lo">The low value to normalize to.</param>
public void Downsample(IDownSample downsampler,
bool findBounds, int height, int width,
double hi, double lo)
{
if (findBounds)
{
downsampler.FindBounds();
}
double[] sample = downsampler.DownSample(Image, height,
width);
for (int i = 0; i < sample.Length; i++)
{
sample[i] = ((sample[i] - 0)
/ (255 - 0))
* (hi - lo) + lo;
}
Data = sample;
}
/// <summary>
/// Downsample, and copy, the image contents into the data of this object.
/// Calling this method has no effect on the image, as the same image can be
/// downsampled multiple times to different resolutions.
/// </summary>
/// <param name="downsampler">The downsampler object to use.</param>
/// <param name="findBounds">Should the bounds be located and cropped.</param>
/// <param name="height">The height to downsample to.</param>
/// <param name="width">The width to downsample to.</param>
/// <param name="hi">The high value to normalize to.</param>
/// <param name="lo">The low value to normalize to.</param>
public void Downsample(IDownSample downsampler,
bool findBounds, int height, int width,
double hi, double lo)
{
if (findBounds)
{
downsampler.FindBounds();
}
double[] sample = downsampler.DownSample(Image, height,
width);
for (int i = 0; i < sample.Length; i++)
{
sample[i] = ((sample[i] - 0)
/(255 - 0))
*(hi - lo) + lo;
}
_data = sample;
}
public void Downsample(IDownSample downsampler, bool findBounds, int height, int width, double hi, double lo)
{
double[] numArray;
int num;
if (!findBounds)
{
goto Label_004B;
}
if (0 == 0)
{
goto Label_0033;
}
Label_0006:
if (num < numArray.Length)
{
goto Label_005F;
}
this.Data = numArray;
if ((((uint) width) - ((uint) height)) >= 0)
{
return;
}
Label_0033:
if (((uint) num) < 0)
{
goto Label_005F;
}
downsampler.FindBounds();
Label_004B:
numArray = downsampler.DownSample(this.Image, height, width);
num = 0;
goto Label_0006;
Label_005F:
numArray[num] = (((numArray[num] - 0.0) / 255.0) * (hi - lo)) + lo;
num++;
goto Label_0006;
}
/// <summary>
/// Downsample, and copy, the image contents into the data of this object.
/// Calling this method has no effect on the image, as the same image can be
/// downsampled multiple times to different resolutions.
/// </summary>
/// <param name="downsampler">The downsampler object to use.</param>
/// <param name="findBounds">Should the bounds be located and cropped.</param>
/// <param name="height">The height to downsample to.</param>
/// <param name="width">The width to downsample to.</param>
/// <param name="hi">The high value to normalize to.</param>
/// <param name="lo">The low value to normalize to.</param>
public void Downsample(IDownSample downsampler,
bool findBounds, int height, int width,
double hi, double lo)
{
if (findBounds)
{
downsampler.FindBounds();
}
double[] sample = downsampler.DownSample(this.Image, height,
width);
for (int i = 0; i < sample.Length; i++)
{
sample[i] = OutputFieldRangeMapped.Calculate(sample[i], 0,
255, hi, lo);
}
this.Data = sample;
}