The "Every Method" editing demo allows you to preview over 250 editing, analysis and effects methods.

Image Editing Methods
◼ Analysis Methods
◼ Color Adjustment Methods
◼ Color Depth Methods
◼ Detection Methods
◼ Effects Methods
◼ Filter Methods
◼ Geometric Methods
◼ Painting and Alpha Methods
◼ Smoothing Methods
◼ Other Methods
◼ Interactive Tools

 Test Images

ImageEnView1.IO.LoadFromFile( 'D:\ImageTest1.jpg' );

  


 CalcAverageRGB

// Return the average RGB values of the selection (with sample size of 100)
rgb := ImageEnView1.Proc.CalcAverageRGB( 100 );
s := format( 'Average RGB: %d, %d, %d', [ rgb.r, rgb.g, rgb.b ]);

ImageTest1.jpg: Average RGB: 138, 106, 86
ImageTest2.jpg: Average RGB: 245, 218, 144
ImageTest3.jpg: Average RGB: 102, 91, 82


 CalcDensityHistogram

// Draw density histograms for the image
GetMem(vertoHist, ImageEnView2.IEBitmap.Height * sizeof(integer));
GetMem(horzoHist, ImageEnView2.IEBitmap.Width * sizeof(integer));
ImageEnView1.Proc.CalcDensityHistogram( vertHisto, horzHisto, ImageEnView2.IEBitmap.Width, ImageEnView2.IEBitmap.Height );
ImageEnView2.IEBitmap.Canvas.Pen.Color := clNavy;
for i := 0 to ImageEnView2.IEBitmap.Width - 1 do
begin
  ImageEnView2.IEBitmap.Canvas.MoveTo( i, ImageEnView2.IEBitmap.Height );
  ImageEnView2.IEBitmap.Canvas.LineTo( i, ImageEnView2.IEBitmap.Height - horzHisto[i] );
end;
ImageEnView2.Update();
FreeMem( vertHist );
FreeMem( horzHist );

  


 CalcImageNumColors

// Return the number of colors found in the image
n := ImageEnView1.Proc.CalcImageNumColors();
s := format( 'Color count: %d', [ n ]);

ImageTest1.jpg: Color count: 62008
ImageTest2.jpg: Color count: 15910
ImageTest3.jpg: Color count: 21283


 CalcImagePalette

// Output 256 colors of the image
ImageEnView1.Proc.CalcImagePalette( MyColorMap256, 256 );
IEDrawColorPalette( ImageEnView1.IEBitmap, MyColorMap256, 30, 30, 16 );




 CalcImageTransparency

// Return the percentage of pixels that are partially or fully transparent
ImageEnView1.Proc.SetTransparentColors( CreateRGB(192, 192, 192), CreateRGB(255, 255, 255), 0 ); // Make colors similar to white transparent
d := ImageEnView1.Proc.CalcImageTransparency();
s := format( 'Image Transparency: %d%%', [ Round( d * 100 )]);

  

ImageTest1.jpg: Image Transparency: 2%
ImageTest2.jpg: Image Transparency: 45%
ImageTest3.jpg: Image Transparency: 9%


 CalcStdDev

// Return the Standard Deviation of the image
d := ImageEnView1.Proc.CalcStdDev();
s := 'Standard Deviation: ' + FloatToStr( d );

ImageTest1.jpg: Standard Deviation: 59.55442
ImageTest2.jpg: Standard Deviation: 66.16412
ImageTest3.jpg: Standard Deviation: 78.59620


 GetDominantColor

// Return the most common color in the image (and its percentage of the image)
d := ImageEnView1.Proc.GetDominantColor( rgb );
s := format( 'Dominant Color (%d%%): %s', [ Round( d ), ColorToHex( TRGB2TColor( rgb )) ]);

ImageTest1.jpg: Dominant Color (0%): #060606
ImageTest2.jpg: Dominant Color (39%): #FFFFFF
ImageTest3.jpg: Dominant Color (20%): #1C1C1C

// Show in ImageEnView2 the 64 most common colors in the image in ImageEnView1
var
  domColors: Array of TColor;
  count: Integer;
begin
  SetLength( domColors, 64 );
  count := ImageEnView1.Proc.GetDominantColor( domColors, v1 );
  if count < v1 then
    SetLength( domColors, count ); // Image had less than 64 colors (only needed if you want to do something with domColors)
  IEDrawColorPalette( ImageEnView2.IEBitmap, domColors, 30, 30, 8, clWhite, clBlack, count );
  ImageEnView2.Update();
end;

  


 GetCMYKChannels

// Return the Cyan channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( CMYK_C );

  

// Return the Magenta channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( CMYK_M );

  

// Return the Yellow channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( CMYK_Y );

  

// Return the Key (black) channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( CMYK_K );

  


 GetHistogram

// Output the histogram of the gray-scale level
hist := ImageEnView1.Proc.GetHistogram( [hkGray] );
IEDrawHistogramToBitmap( hist, bmp, ImageEnView2.ClientWidth, ImageEnView2.ClientHeight,
                         [hkGray], hsFilledLines, iehsLinearClipped );
ImageEnView2.Update();

  

// Output the histogram of the RGB level
hist := ImageEnView1.Proc.GetHistogram( [hkRed, hkGreen, hkBlue] );
IEDrawHistogramToBitmap( hist, bmp, ImageEnView2.ClientWidth, ImageEnView2.ClientHeight,
                         [hkRed, hkGreen, hkBlue], hsFilledLines, iehsLinearClipped );
ImageEnView2.Update();

  

// Output the histogram of the hue level
Hist := ImageEnView1.Proc.GetHistogram( [hkHue] );
IEDrawHistogramToBitmap( hist, bmp, ImageEnView2.ClientWidth, ImageEnView2.ClientHeight,
                         [hkHue], hsFilledLines, iehsLinearClipped );
ImageEnView2.Update();

  


 GetHSVChannel

// Return the Hue channel of the image
bmp1 := ImageEnView1.Proc.GetHSVChannel( HSV_Hue );

  

// Return the Saturation channel of the image
bmp1 := ImageEnView1.Proc.GetHSVChannel( HSV_Sat );

  

// Return the Value channel of the image
bmp1 := ImageEnView1.Proc.GetHSVChannel( HSV_Val );

  


 GetRGBChannel

// Return the Red channel of the image
bmp1 := ImageEnView1.Proc.GetRGBChannel( iecRed );

  

// Return the Green channel of the image
bmp1 := ImageEnView1.Proc.GetRGBChannel( iecGreen );

  

// Return the Blue channel of the image
bmp1 := ImageEnView1.Proc.GetRGBChannel( iecBlue );

  

See Also

◼ Analysis Methods
◼ Color Adjustment Methods
◼ Color Depth Methods
◼ Detection Methods
◼ Effects Methods
◼ Filter Methods
◼ Geometric Methods
◼ Painting and Alpha Methods
◼ Smoothing Methods
◼ Other Methods
◼ Interactive Tools

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