ImageEn

Preview of Detection Methods


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' );

  


 canny (IEVision)

// Find line segments in a binary image using a probabilistic Hough transform
ImageEnView1.IEBitmap.PixelFormat := ie8g;
ImageEnView1.IEBitmap.GetIEVisionImage().canny( 50, 200, 3 );
ImageEnView1.IEBitmap.Negative();  // Which will call ImageEnView1.Update();

  


 EdgeDetect_ShenCastan

// Convert the current color image to black & white (1 bit) using a Shen-Castan (ISEF) edge detection algorithm
ImageEnView1.Proc.EdgeDetect_ShenCastan();

  


 EdgeDetect_Sobel

// Detect the edges of objects within an image using a Sobel filter
ImageEnView1.Proc.EdgeDetect_Sobel();
ImageEnView1.Proc.Negative();

  


 LayersCreateFromEdge

// Automatically select a color region and convert it to a polygon
ImageEnView1.SelectionBase := iesbBitmap;
if ImageEnView1.LayersCreateFromEdge( ClickPt.X, ClickPt.Y, 54, False ) > 0 then
begin
  ImageEnView1.CurrentLayer.BorderWidth := 2;
  ImageEnView1.CurrentLayer.BorderColor := Color;
  ImageEnView1.CurrentLayer.FillColor   := clWhite;
  ImageEnView1.LayersMergeAll();
end;

  


 matchTemplate (IEVision)

// Find a matching image within our image
template := SearchImage.GetIEVisionImage();
image := ImageEnView1.IEBitmap.GetIEVisionImage();
r := image.matchTemplate( template, ievSQDIFF, @rank );
// draw a red box around the found rectangle
with ImageEnView1.IEBitmap.Canvas do
begin
  Pen.Color := clRed;
  Pen.Width := 5;
  Brush.Style := bsClear;
  Rectangle( IEVisionRectToTRect( r ));
  Font.Height := 36;
  Font.Color := clRed;
  Font.Style := [fsBold];
  TextOut( r.x + 10, r.y + 4, Format( 'Match: %d%%', [Round( rank )]));
end;
ImageEnView1.Update();

  


 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' );

  

// Detect 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();

  

// Detect 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)

// Find 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();

  



 createPeopleDetector (IEVision)

// Find and highlight the people in an image
detector := IEVisionLib.createPeopleDetector();
foundRects := detector.detect( ImageEnView1.IEBitmap.GetIEVisionImage() );
for i := 0 to foundRects.size()-1 do
  with foundRects.getRect(i) do
  begin
    ImageEnView1.IEBitmap.Canvas.Brush.Style := bsClear;
    ImageEnView1.IEBitmap.Canvas.Pen.Color := clRed;
    ImageEnView1.IEBitmap.Canvas.Rectangle(x, y, x+width, y+height);
  end;
ImageEnView1.Update();



 CalcOrientation

// Load test image
ImageEnView1.IO.LoadFromFile( 'D:\TestImage.jpg' );


// Automatically rotate a document
n := ImageEnView1.Proc.CalcOrientation();
ImageEnView1.Proc.Rotate( n );



 SkewDetection

// Load test image
ImageEnView1.IO.LoadFromFile( 'D:\TestImage.jpg' );

 

// Check for skew within the range -15 to 15 with 0.1 degrees of precision and automatically orient (for printed text)
d := ImageEnView1.Proc.SkewDetection( ImageEnView1.IEBitmap.Width div 4, 30, 0.1, false );
ImageEnView1.Proc.RotateAndCrop( d, ierBicubic );

 


 SkewDetectionFine

// Check for skew within the range -5 to 5 with 0.1 degrees of precision and automatically orient (for printed text)
d := ImageEnView1.Proc.SkewDetectionFine( 0, 0.1, 10, True );
ImageEnView1.Proc.RotateAndCrop( d, ierBicubic );

 


 createOCR (IEVision)

// Extract text from an image
mOCR := IEVisionLib.createOCR( PAnsiChar( AnsiString( IEOCRLanguageList[OCR_English_Language].Code )) );
mOCR.setSegmentationMode( ievOCRAuto );
Memo1.Text := mOCR.recognize( ImageEnView1.IEBitmap.GetIEVisionImage(), IEVisionRect( ImageEnView1.SelectedRect )).c_str();



"Skew Angle Estimation and Correction of Hand
Written, Textual and Large areas of Non-Textual
Document Images: A Novel Approach
D.R.Ramesh Babu
PES Institute of Technology
Bangalore, Karnataka
India
Piyush M Kumat
Research Scholar
PICT, Pune
India
Mahesh D Dhannawat
Research Scholar
PICT, Pune
India
Abstract- Skew angle estimation and correction of a
document page is an important task for document
analysis and optical character recognition (OCR)
applications. Many approaches of skew detection can
process pure textual document images successfully. But
it is a challenging problem to process documents like
...


 OrbDetectAndDeskew (IEVision)

// Automatically orient an image based on a reference image
ImageEnViewInput.IEBitmap.OrbDetectAndDeskew( ImageEnViewReference.IEBitmap, ImageEnViewResult.IEBitmap, UpDownMaxFeatures.Position );



 createBarCodeScanner (IEVision)

// Find barcode in image
barCodeSymbols := IEVisionLib.createBarCodeScanner().scan( ImageEnView1.IEBitmap.GetIEVisionImage(), IEVisionRect( 0, 0, 0, 0 ) );
if barCodeSymbols.size() > 0 then
  ShowMessage( sym.getData().c_str() + ' (' + sym.getSymbolType().c_str() + ')' );


"39123439 (Code-39)"



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