Description This function will filter the image by the spatial weighted mean filter method. This function works for only monochrome, 8 bit per pixel and 24 bit per pixel images. Weighted mean filter differs from mean filter in that specified pixels within a local neighborhood are repeated a given number of times in the computation of the mean value. Definition of the weighted mean filter is :
WeightedMean(A)=Mean[Repeat StrMask(i,j) times {A(x+i,y+j)}]
where the coordinate (x+i, y+j ) is defined over the image A and the coordinate (i, j) is defined over the structuring mask of StrFunc structuring function
Examples
Syntax RetVal = [BiFilter.]FilterWeightedMean hDib Mask Mheight Mwidth MPx Mpy iShowProgress hWnd
Returns RetVal LONGLONG The handle of new filtered DIB, 0 if an error occurred, or -1 if the BIFilter.dll does not installed.
Remarks hDib LONGLONG Handle of the image to filter.
Mask short* This parameter specifies the structuring function used by the filtering.
Mheight short Height of the structuring mask.
Mwidth short Width of the structuring mask.
MPx short X coordinate of the mask origin.
MPy short Y coordinate of the mask origin.
iShowProgress short This parameter specifies the displaying of the progressbar and the preview dialog.
Available values:
DISPLAY_NONE (0) - The progressbar and the preview dialog will not display before filtering.
DISPLAY_PROGRESS (1) - The progressbar will display during filtering procedure.
DISPLAY_DIALOG (2) - The preview dialog will display before filtering. This dialog shows the part of the image before and after filtering.
DISPLAY_BOTH (3) - The progressbar and the preview dialog will display.
IMPORTANT: The preview dialog will only display, if there is BIDlgs32.dll installed.
hWnd LONGLONG Handler of the parent window.
See Also FilterLaplace Method, FilterGauss Method, FilterGradient Method, FilterEnhance Method, FilterUniform Method