LBitmapBase::GrayScale

#include "ltwrappr.h"

virtual L_INT LBitmapBase::GrayScale(nBitsPerPixel=8)

L_INT nBitsPerPixel;

number of bits per pixel

Converts a 1-, 4-, 8-, 16-, 24-, or 32-bit bitmap to an 8-bit, 12-bit, 16-bit or 32-bit grayscale bitmap. Support for 12 ,16 and 32-bit grayscale images is available only in the Document/Medical toolkits.

Parameter	Description
nBitsPerPixel	Value indicating the number of bits in the destination bitmap. Valid values are 8, 12, 16, or 32.

Returns

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

Comments

The resulting bitmap can be an 8-bit, 12-bit, ,16-bit or 32-bit grayscale bitmap. Once the function is complete, the Order member of the bitmap handle is set to ORDER_GRAY.

When converting to 12-bit , 16-bit, or 32-bit grayscale, a Lookup table is not used. When converting to 8-bit grayscale, a Lookup table is used to get the RGB for each input pixel. The grayscale value corresponding to that RGB triple is used in the destination bitmap.

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

Required DLLs and Libraries

LTDIS
LTFIL

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.

Example

#define MAKE_IMAGE_PATH(pFileName) TEXT("C:\\Users\\Public\\Documents\\LEADTOOLS Images\\")pFileName 
L_INT LBitmapBase__GrayScaleExample() 
{ 
   L_INT nRet; 
   LBitmapBase MyBitmap; 
   MyBitmap.SetFileName(MAKE_IMAGE_PATH(TEXT("image1.cmp"))); 
   nRet =MyBitmap.Load(24); 
   if(nRet !=SUCCESS) 
      return nRet; 
   if(MyBitmap.IsGrayScale()==GRAY_NO) 
      nRet = MyBitmap.GrayScale(8); 
   return nRet; 
}

Help Version 19.0.2017.10.27

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Summary of Features

Element:	LBitmapBase::IsGrayScale, LBitmapBase::ConvertToGrayScale, Class Members
Topics:	Raster Image Functions: Doing Color Expansion or Reduction
	Color Halftones and Halftone Images
	Raster Image Functions: Working with Color Halftones, Halftones, and Grayscale Images