L_DynamicBinaryBitmap

#include "l_bitmap.h"

L_LTIMGCLR_API L_INT L_DynamicBinaryBitmap (pBitmap, uDim, uLocalContrast, uFlags)

pBITMAPHANDLE pBitmap;	/* pointer to the bitmap handle */
L_UINT uDim;	/* dimensions of the neighborhood (uDim x uDim), in pixels */
L_UINT uLocalContrast;	/* local contrast threshold */
L_UINT32 uFlags;	/* flags*/

Converts 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. This function is also useful for pre-processing images for the purpose of improving barcode recognition results.

Parameter	Description
pBitmap	Pointer to the bitmap handle referencing the bitmap to be changed.
uDim	Dimensions of the neighborhood used when evaluating each pixel (uDim x uDim), in pixels. uDim should be at least 1.
uLocalContrast	Local contrast threshold. If the contrast of the area surrounding the pixel is below uLocalContrast, the pixel is converted to black or white using a global pre-calculated threshold. If the contrast of the area surrounding the pixel is higher than uLocalContrast, the local threshold value is calculated and used. The range for uLocalContrast is 0 to 255 for 8-bit, 0 to 4095 for 12-bit and 0 to 65535 for 16-bit.
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:

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 converts a bitmap into a black and white image without changing its bits per pixel.

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.

Each pixel is compared to a dynamically-calculated threshold. If the intensity of the pixel is higher (that is, the pixel is brighter) than the dynamic threshold, the pixel will be set to white. If the intensity of the pixel is lower (that is, the pixel is darker) than the dynamic threshold, the pixel will be set to black.

Here are some hints on using this function:

Increasing uLocalContrast increases the number of pixels that use the global threshold. This tends to preserve the general aspect of the image and reduces the improvement in the areas with many details. Reducing uLocalContrast, increases the contrast in areas with many details.

Increasing uDim increases the area used for local contrast. This makes the color changes smoother.

This function is good as a prerequisite for converting scanned images to 1-bit, because it uses one threshold for background and another for text.

To update a status bar or detect a user interrupt during execution of this function, refer to L_SetStatusCallback.

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

Windows 2000 / XP/Vista / Windows CE.

See Also

Example

This example loads a bitmap and converts it into a black and white image without changing its bits per pixel

#if defined (LEADTOOLS_V16_OR_LATER)
 L_INT DynamicBinaryBitmapExample(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 (TEXT("%UserProfile%\\My Documents\\LEADTOOLS Images\\IMAGE1.CMP"), &LeadBitmap, sizeof(BITMAPHANDLE), 0, ORDER_BGR, NULL, NULL);
   if(nRet !=SUCCESS)
      return nRet;
   /* convert it into a black and white image without changing its bits per pixel */
   nRet = L_DynamicBinaryBitmap (&LeadBitmap, 8, 16, 0);
   if(nRet !=SUCCESS)
      return nRet;
   nRet = L_SaveBitmap(TEXT("%UserProfile%\\My Documents\\LEADTOOLS Images\\Result.BMP"), &LeadBitmap, FILE_BMP, 24, 0, NULL);
   if(nRet !=SUCCESS)
      return nRet;
   //free bitmap 
   if(LeadBitmap.Flags.Allocated)  
      L_FreeBitmap(&LeadBitmap);  
   return SUCCESS;
}
#else
 L_INT DynamicBinaryBitmapExample(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 (TEXT("%UserProfile%\\My Documents\\LEADTOOLS Images\\IMAGE1.CMP"), &LeadBitmap, sizeof(BITMAPHANDLE), 0, ORDER_BGR, NULL, NULL);
   if(nRet !=SUCCESS)
      return nRet;
   /* convert it into a black and white image without changing its bits per pixel */
   nRet = L_DynamicBinaryBitmap (&LeadBitmap, 8, 16);
   if(nRet !=SUCCESS)
      return nRet;
   nRet = L_SaveBitmap(TEXT("%UserProfile%\\My Documents\\LEADTOOLS Images\\Result.BMP"), &LeadBitmap, FILE_BMP, 24, 0, NULL);
   if(nRet !=SUCCESS)
      return nRet;
   //free bitmap 
   if(LeadBitmap.Flags.Allocated)  
      L_FreeBitmap(&LeadBitmap);  
   return SUCCESS;
}
#endif // LEADTOOLS_V16_OR_LATER