public HistogramCommandFlags Channel { get; set; }
@property (nonatomic, assign) LTHistogramCommandFlags channel;
public int getChannel();
public void setChannel(
int intValue
);
public:
property HistogramCommandFlags Channel {
HistogramCommandFlags get();
void set ( HistogramCommandFlags );
}
Channel # get and set (HistogramCommand)
Value that indicates the channel for which to get the histogram and the bits to use in calculating the histogram.
In order to speed up widely used image processing filters in LEADTOOLS, the grayscale value (master channel) of a colored image is calculated using the following formulas:
#define CalcGrayValue(r, g, b) ((L_UCHAR)(((L_UCHAR) (((2 * (L_UINT) (r)) + (5 * (L_UINT) (g)) + (L_UINT) (b) + 4) / 8))))
#define CalcGrayValue16(r, g, b) ((L_UINT16) (((2 * (L_UINT32) (r)) + (5 * (L_UINT32) (g)) + (L_UINT32) (b) + 4) / 8))
#define CalcGrayValue32(r, g, b) ((L_UINT32) (((2 * (L_UINT32) (r)) + (5 * (L_UINT32) (g)) + (L_UINT32) (b) + 4) / 8))
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Color;
public void HistogramCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg"));
// Prepare the command
HistogramCommand command = new HistogramCommand();
long[] histogramValues;
//Create the red-channel histogram.
command.Channel = HistogramCommandFlags.Red | HistogramCommandFlags.AllBits;
command.Run(image);
codecs.Save(image, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24);
histogramValues = command.Histogram;
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS22\Resources\Images";
}
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