The "Every Method" editing demo allows you to preview 300 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 );