Gdiplus on C++ configuration for binary image? - c++

Question

Is there any setting that I can set the color of the GDIPlus Graphics method or Bitmap method only indicates black and white color (0,0,0/255,255,255) for binary image? I've already tried colorpalette option (getPalette / setPalette) of bitmap class but it doesnt work at all.
I've accessed to the image itself but it doesn't work either. please note that image itself.
for (int bufidx = 0; bufidx < m_BufferSize; bufidx++)
{
if (m_pImage[BINARY_VID][bufidx] > m_Threshold)
{
m_pImage[BINARY_VID][bufidx] = 255;
}
else
{
m_pImage[BINARY_VID][bufidx] = 0;
}
} // Algorithm for thresholding image
this is the code that changes data itself. m_buffersize is size of the image (width * height)
m_pImage[BINARY_VID]is the data itself that has 0~255 value 8-bit data. data is from the camera module.
m_pBitmap[vidType]->LockBits(&rc, 0, PixelFormat8bppIndexed, &bitmapdata);
memcpy(bitmapdata.Scan0, m_pImage[vidType], m_BufferSize);
m_pBitmap[vidType]->UnlockBits(&bitmapdata);
and it's the part that I convert it to Bitmap method
int paletteSize = m_pBitmap[vidType]->GetPaletteSize();
ColorPalette* pPalette = new ColorPalette[paletteSize];
m_pBitmap[vidType]->GetPalette(pPalette, paletteSize);
// gets palette info of bitmap image to set color info of the bitmap
switch (vidType)
{
case NORMAL_VID:
case ROI_VID:
for (unsigned int i = 0; i < pPalette->Count; i++)
{
pPalette->Entries[i] = Color::MakeARGB(255, i, i, i);
}
m_pBitmap[vidType]->SetPalette(pPalette);
break;
// Normal video || ROI video color set
case BINARY_VID:
for (unsigned int i = 0; i < pPalette->Count; i++)
{
if (i > m_Threshold)
{
pPalette->Entries[i] = Color::MakeARGB(255, 255, 255, 255);
}
else
{
pPalette->Entries[i] = Color::MakeARGB(255, 0, 0, 0);
}
}
m_pBitmap[vidType]->SetPalette(pPalette);
break;
default:
AfxMessageBox(TEXT("vidtype error : on converting palette!"));
delete[] pPalette;
return;
break;
}
delete[] pPalette;
MemoryLeakCheck();
and this is the part that I use for converting color.
and this is the result image that I get. I just don't know why I have gray noise on the binary image that only has data of 0 or 255.

Answer 1

There is no gray in this image, that is a false impression.