L_AutoBinaryBitmap

#include "l_bitmap.h"

L_LTIMGCLR_API L_INT L_AutoBinaryBitmap(pBitmap, uFlags)

pBITMAPHANDLE pBitmap;

pointer to the bitmap handle

L_UINT32 uFlags;

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

pBitmap

Pointer to the bitmap handle referencing the bitmap to segment.

uFlags

Reserved for future use. Must be 0.

Returns

SUCCESS

The function was successful.

< 1

An error occurred. Refer to Return Codes.

Comments

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.

Use L_AutoBinaryBitmap 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 L_DynamicBinaryBitmap 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 L_AutoBinarizeBitmap if you want:

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.

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

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 in the Document and Medical Imaging 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.

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, Linux.

See Also

Functions:

L_SharpenBitmap, L_PosterizeBitmap, L_MosaicBitmap, L_EmbossBitmap, L_AverageFilterBitmap, L_MedianFilterBitmap, L_AddBitmapNoise, L_IntensityDetectBitmap, L_SpatialFilterBitmap, L_MaxFilterBitmap, L_MinFilterBitmap, L_OilifyBitmap, L_SolarizeBitmap, L_WindowLevel, L_BinaryFilterBitmap, L_ColorLevelBitmap, L_BinaryFilterBitmap, L_BricksTextureBitmap, L_DeskewBitmap, L_DiffuseGlowBitmap, L_GlowFilterBitmap, L_HalfTonePatternBitmap, L_HighPassFilterBitmap, L_MaskConvolutionBitmap, L_PerspectiveBitmap, L_PlasmaFilterBitmap, L_PointillistBitmap, L_FragmentBitmap, L_UnsharpMaskBitmap, L_DynamicBinaryBitmap, L_AutoLineRemove

Topics:

Raster Image Functions: Filtering Images

 

Removing Noise

Example

The following example loads a bitmap and applies automatic binary segmentation on it:

L_INT AutoBinaryBitmapExample(L_VOID) 
{ 
   L_INT nRet; 
   BITMAPHANDLE LeadBitmap;   /* Bitmap handle to hold the loaded image. */ 
 
   /* Load the bitmap, keeping the bits per pixel of the file */ 
   nRet = L_LoadBitmap(MAKE_IMAGE_PATH(TEXT("ImageProcessingDemo\\Beauty16.jpg")), &LeadBitmap, sizeof(BITMAPHANDLE), 0, ORDER_BGR, NULL, NULL); 
   if(nRet !=SUCCESS) 
      return nRet; 
 
   /* Apply Auto Binary Segment */ 
   nRet = L_AutoBinaryBitmap (&LeadBitmap, 0); 
   if(nRet !=SUCCESS) 
      return nRet; 
   nRet = L_SaveBitmap(MAKE_IMAGE_PATH(TEXT("Result.BMP")), &LeadBitmap, FILE_BMP, 24, 0, NULL); 
   if(nRet !=SUCCESS) 
      return nRet; 
 
   //free bitmap  
   if(LeadBitmap.Flags.Allocated) 
      L_FreeBitmap(&LeadBitmap); 
   return SUCCESS; 
} 

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