LBitmap::ShiftMinimumToZero

#include "ltwrappr.h"

L_INT LBitmap::ShiftMinimumToZero(puShiftAmount, uFlags = 0)

L_UINT * puShiftAmount;	pointer to the shifting amount
L_UINT32 uFlags;	flags

Converts the signed bitmap to an unsigned bitmap by increasing or shifting the bitmap's intensity values, so the lowest intensity value (the most negative value) will be shifted to zero.

Parameter	Description
puShiftAmount	Pointer to a variable to be updated with the value by which the intensity values were shifted.
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 is similar to LBitmap::ConvertSignedToUnsigned. However, LBitmap::ShiftMinimumToZero updates the puShiftAmount parameter with the value by which the intensity values were shifted.

The LBitmap::ShiftMinimumToZero and LBitmap::ShiftZeroToNegative functions are most often used in concert with one or more image processing or analysis functions. LBitmap::ShiftMinimumToZero converts signed data to unsigned data, in preparation for some image processing or analysis. (Most image processing functions work only on unsigned data.) After the image processing or analysis is performed, LBitmap::ShiftZeroToNegative converts the unsigned data back to signed data.

This function updates the "Flags.Signed", "MinVal" and "MaxVal" members of the class objects BITMAPHANDLE member; a pointer obtained by calling LBitmapBase::GetHandle function.

This function doesnt support 8-bit images.

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 supports signed data images.

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

LTIMGCOR

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 LBitmap__ShiftMinimumToZeroExample() 
{ 
   // This function will apply LBitmap::MultiScaleEnhancementBitmap on a signed image, 
   // but since LBitmap::MultiScaleEnhancementBitmap doesn't support signed images, 
   // we will convert the image to unsigned image, apply the effect, 
   // and then convert it back to signed image. 
   L_UINT         nShiftAmount; 
   LBitmap        LeadBitmap; 
   L_INT          nRet; 
   LOADFILEOPTION LoadFileOption; 
   /* enable negative pixels to be loaded from TIFF files */ 
   nRet =LBaseFile::GetDefaultLoadFileOption(&LoadFileOption, sizeof(LoadFileOption)); 
   if(nRet !=SUCCESS) 
      return nRet; 
   LoadFileOption.Flags |= ELO_SIGNED; 
   /* Load the bitmap, keeping the bits per pixel of the file */ 
   nRet =LeadBitmap.Load(MAKE_IMAGE_PATH(TEXT("signed-test.tif")), 0, ORDER_BGRORGRAY, &LoadFileOption, NULL); 
   if(nRet !=SUCCESS) 
      return nRet; 
   // Convert the bitmap to unsigned bitmap by shifting the negative values to become positive. 
   nRet =LeadBitmap.ShiftMinimumToZero(&nShiftAmount); 
   if(nRet !=SUCCESS) 
      return nRet; 
   // Apply multiscale enhancement 
   nRet =LeadBitmap.MultiScaleEnhancement(2000, 4, MSE_DEFAULT, 0, 0, MSE_GAUSSIAN | MSE_EDGEENH); 
   if(nRet !=SUCCESS) 
      return nRet; 
   // Convert the bitmap back to signed by shifting the same amount in the negative side. 
   nRet =LeadBitmap.ShiftZeroToNegative( nShiftAmount, -32767, 32766, 0, 65535); 
   if(nRet !=SUCCESS) 
      return nRet; 
   return SUCCESS; 
}

Help Version 19.0.2017.10.27

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LEADTOOLS Raster Imaging C++ Class Library Help

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Summary of Features

Functions:	LBitmapBase::ClearNegativePixels, LBitmap::ConvertUnsignedToSigned, LBitmap::ConvertSignedToUnsigned, LBitmap::ShiftZeroToNegative
Topics:	Raster Image Functions: Getting and Setting Pixel Values
	Processing an Image