Testing of Analysis Methods
These images were generated using the demo:
\Demos\InputOutput\EveryMethod\EveryMethod.dpr
All Test Results
- Analysis Methods
- Color Adjustment Methods
- Color Depth Methods
- Alpha and Painting Methods
- Effects Methods
- Geometric Methods
- Filter Methods
- Smoothing Methods
- Other Methods
// Load test image
ImageEnView1.IO.LoadFromFile( 'D:\TestImage.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
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
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
GetCMYKChannels
// Return the Cyan channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( 0 );
// Return the Magenta channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( 1 );
// Return the Yellow channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( 2 );
// Return the Key (black) channel of the image
bmp1 := ImageEnView1.Proc.GetCMYKChannels( 3 );
GetHSVChannel
// Return the Hue channel of the image
bmp1 := ImageEnView1.Proc.GetHSVChannel( 0 );
// Return the Saturation channel of the image
bmp1 := ImageEnView1.Proc.GetHSVChannel( 1 );
// Return the Value channel of the image
bmp1 := ImageEnView1.Proc.GetHSVChannel( 2 );
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 );
SeparateObjects
// Show detected objects in the image
ImageEnView1.Proc.SaveUndo();
ImageEnView1.Proc.ConvertToBWThreshold( 80 ); // Better detection
rects := ImageEnView1.Proc.SeparateObjects( 4, True, 10 );
ImageEnView1.Proc.Undo(); // Get full color image back
ImageEnView1.IEBitmap.IECanvas.DrawRects( rects, clRed, 2 );
// Output object count
ImageEnView1.Proc.TextOut( Align_Text_Near_Left, Align_Text_Near_Top, Format( 'Objects: %d', [ rects.Count ]), 'Arial', 10, clRed, [fsBold] );
ImageEnView1.Update;
rects.free;
createBlobDetector (IEVision)
// Detect blobs/shapes in image
detector := IEVisionLib().createBlobDetector();
detector.setFilterByInertia( False, 0.1, 3.4e+38 );
detector.setFilterByConvexity( False, 0.95, 3.4e+38 );
keyPoints := detector.detect( ImageEnView1.IEBitmap.GetIEVisionImage() );
ImageEnView1.IEBitmap.IECanvas.DrawRects( keyPoints, clRed, 2, True );
ImageEnView1.Proc.TextOut( Align_Text_Near_Left, Align_Text_Near_Top, Format( 'Found: %d', [ KeyPoints.size ]), 'Arial', 12, Text_Color, [fsBold] );
ImageEnView1.Update();
detectLines (IEVision)
// Load test image
ImageEnView1.IO.LoadFromFile( 'D:\TestImage.jpg' );
// Detects lines using a Binary Descriptor
lines := ImageEnView1.IEBitmap.GetIEVisionImage().detectLines( ievBinaryDescriptor );
ImageEnView1.IEBitmap.IECanvas.DrawLines( lines, clRed, 2 );
ImageEnView1.Proc.TextOut( Align_Text_Near_Left, Align_Text_Near_Top, Format( 'Lines: %d', [ lines.size ]), 'Arial', 12, Text_Color, [fsBold] );
ImageEnView1.Update();
// Detects lines using a LSD Detector
lines := ImageEnView1.IEBitmap.GetIEVisionImage().detectLines( ievLSDDetector );
ImageEnView1.IEBitmap.IECanvas.DrawLines( lines, clRed, 2 );
ImageEnView1.Proc.TextOut( Align_Text_Near_Left, Align_Text_Near_Top, Format( 'Lines: %d', [ lines.size ]), 'Arial', 12, Text_Color, [fsBold] );
ImageEnView1.Update();
houghLinesP (IEVision)
// Load test image
ImageEnView1.IO.LoadFromFile( 'D:\TestImage.jpg' );
// Finds line segments in a binary image using the probabilistic Hough transform
ImageEnView1.Proc.SaveUndo();
ImageEnView1.IEBitmap.PixelFormat := ie8g;
ImageEnView1.IEBitmap.GetIEVisionImage().blur( IEVisionSize(3, 3), IEVisionPoint(-1, -1) );
ImageEnView1.IEBitmap.GetIEVisionImage().canny( 50, 200, 3 );
lines := ImageEnView1.IEBitmap.GetIEVisionImage().houghLinesP( 1, PI / 180, 200, 100, 10 );
ImageEnView1.Proc.Undo(); // Restore full color image
ImageEnView1.IEBitmap.IECanvas.DrawLines( lines, clRed, 2 );
ImageEnView1.Proc.TextOut( Align_Text_Near_Left, Align_Text_Near_Top, Format( 'Lines: %d', [ lines.size ]), 'Arial', 12, Text_Color, [fsBold] );
ImageEnView1.Update();
findIn (IEVision)
// Find Faces in image
objectsFinder := IEVisionLib.createObjectsFinder();
objectsFinder.addClassifier('face detector 1', IEVisionLib.createCascadeClassifier(IEVC_FRONTAL_FACE_DEFAULT));
objectsFinder.addClassifier('face detector 2', IEVisionLib.createCascadeClassifier(IEVC_FRONTAL_FACE_ALT_TREE));
objectsFinder.addClassifier('face detector 3', IEVisionLib.createCascadeClassifier(IEVC_FRONTAL_FACE_ALT));
objectsFinder.addClassifier('face detector 4', IEVisionLib.createCascadeClassifier(IEVC_FRONTAL_FACE_ALT_2));
objectsFinder.addClassifier('face detector 5', IEVisionLib.createCascadeClassifier(IEVC_PROFILE_FACE));
objectsFinder.findIn(ImageEnView1.IEBitmap.GetIEVisionImage());
rects := objectsFinder.mergeAllRects(); // merge intersecting rectangles
ImageEnView1.IEBitmap.IECanvas.DrawRects( rects, clRed, 2 );
ImageEnView1.Proc.TextOut( Align_Text_Near_Left, Align_Text_Near_Top, Format( 'Found: %d', [ rects.size ]), 'Arial', 12, Text_Color, [fsBold] );
ImageEnView1.Update();
See Also
- Analysis Methods- Color Adjustment Methods
- Color Depth Methods
- Alpha and Painting Methods
- Effects Methods
- Geometric Methods
- Filter Methods
- Smoothing Methods
- Other Methods