LBitmap::AutoBinary

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#include "ltwrappr.h"

virtual L_INT LBitmap::AutoBinary(uFlags = 0)

/* flags */

Applies binary segmentation to the bitmap using an automatically calculated threshold based on a two-peak method of statistical analysis of the histogram.

Parameter	Description
uFlags	Reserved for future use. Must be 0.

Returns

SUCCESS	The function was successful.
< 1	An error occurred. Refer to Return Codes.

Comments

The bitmap is transformed into a binary image using a threshold calculated automatically based on statistical features of the bitmap. Best results are obtained with grayscale bitmaps.

Use LBitmap::AutoBinary when you simply want to apply binary segmentation to the bitmap using an automatically calculated threshold based on a two-peak method of statistical analysis on its histogram. Use LBitmap::DynamicBinary if you want to convert a bitmap into a black and white image without changing its bits per pixel by using a local threshold value for each pixel of the image. Use LBitmap::AutoBinarize if you want:

Automatic pre-processing
Pre-processing to include background elimination
Pre-processing to include color leveling
To perform automatic, percentile or median thresholding
To manually specify a threshold value

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

If the bitmap has a region, the effect will be applied on the region only..

This function does not support signed data images. It returns the error code ERROR_SIGNED_DATA_NOT_SUPPORTED if a signed data image is passed to this function.

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.

Required DLLs and Libraries

LTIMGCLR

For a listing of the exact DLLs and Libraries needed, based on the toolkit version, refer to Files To Be Included With Your Application.

Platforms

Win32, x64.

See Also

Functions:	LBitmap::Fragment, LBitmap::UnsharpMask, LBitmap::BricksTexture, LBitmap::Deskew, LBitmap::DeskewExt, LBitmap::DiffuseGlow, LBitmap::GlowFilter, LBitmap::HalfTonePattern, LBitmap::HighPassFilter, LBitmap::MaskConvolution, LBitmap::Perspective, LBitmap::PlasmaFilter, LBitmap::Pointillist, LBitmap::Sharpen, LBitmap::Posterize, LBitmap::Mosaic, LBitmap::Emboss, LBitmap::AverageFilter, LBitmap::MedianFilter, LBitmap::AddNoise, LBitmap::IntensityDetect, LBitmap::SpatialFilter, LBitmap::MaxFilter, LBitmap::MinFilter, LBitmap::Oilify, LBitmap::Solarize, LBitmap::WindowLevel, LBitmap::WindowLevelExt, LBitmap::BinaryFilter, LBitmap::AutoColorLevel, LBitmap::ColorLevel, LBitmap::AutoBinarize, LBitmap::DynamicBinary, Class Members
Topics:	Raster Image Functions: Filtering Images
	Removing Noise
	Raster Image Functions: Removing Noise

Example

L_INT LBitmap__AutoBinaryExample(LAnimationWindow *pBitmapWindow) 
{
   return pBitmapWindow->AutoBinary();
}