TIEVisionImage.canny
Declaration
procedure canny(threshold1: double; threshold2: double; apertureSize: int32_t = 3; L2gradient: bool32 = false); overload; safecall;procedure canny(outImage: TIEVisionImage; threshold1: double; threshold2: double; apertureSize: int32_t = 3; L2gradient: bool32 = false); overload; safecall;
Description
Find edges in an image using the Canny algorithm.
Note: Pixel format of input image must be ie8g.
| Parameter | Description |
|---|---|
| outImage | Destination image. Must be 8 bit gray scale (ie8g) and must have the same size of input image |
| threshold1 | First threshold for the hysteresis procedure (0 - 255) |
| threshold2 | Second threshold for the hysteresis procedure (0 - 255) |
| apertureSize | Aperture size for the Sobel operator |
| L2gradient | A flag, indicating whether a more accurate L2 normalization should be used to calculate the image gradient magnitude |
Demo
 | Demos\IEVision\LinesDetect\LinesDetect.dpr |
Example
// Load test imageImageEnView1.IO.LoadFromFile( 'D:\TestImage.jpg' );
// Find line segments in a binary image using the probabilistic Hough transform
ImageEnView1.IEBitmap.PixelFormat := ie8g;
ImageEnView1.IEBitmap.GetIEVisionImage().canny( 50, 200, 3 );
ImageEnView1.IEBitmap.Negative(); // Which will call ImageEnView1.Update();
