L_INT LBitmap::EdgeDetectStatistical2(uDim, nThreshold, crEdgeColor, crBkColor)
Detects edges by examining the variation of colors in all directions using statistical indices.
Dimensions of the neighborhood used to detect edges (uDim x uDim), in pixels.
Threshold value used to determine which pixels are edge pixels. If the difference determined by the edge detector algorithm for a pixel is greater than this value, the pixel is an edge pixel. The valid values ranges:
The COLORREF value that specifies the edge color. You can specify a COLORREF value, such as the return value of the Windows RGB macro, or you can use the PALETTEINDEX macro to specify a palette color.
The COLORREF value that specifies the non edge color. You can specify a COLORREF value, such as the return value of the Windows RGB macro, or you can use the PALETTEINDEX macro to specify a palette color.
Value | Meaning |
---|---|
SUCCESS | The function was successful. |
< 1 | An error occurred. Refer to Return Codes. |
The edges are detected by applying a statistical filter that analyzes the variations of colors in all directions around each pixel.
To update a status bar or detect a user interrupt during execution of this function, refer to LBase::EnableStatusCallback.
This function supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
This function does not support 32-bit grayscale images. It returns the error code ERROR_GRAY32_UNSUPPORTED if a 32-bit grayscale image is passed to this function.
This function supports signed data images.
Win32, x64.
L_INT LBitmap__EdgeDetectStatistical2Example(LAnimationWindow *BitmapWindow)
{
return BitmapWindow->EdgeDetectStatistical2(15, 128, RGB(255, 255, 255), RGB(0, 0, 0));
}
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