Here is a function that converts a JPG to grayscale, pixel by pixel, the function is too slow to be used for that purpose if the image is too large, but perhaps it can help you.

cImage = Getpict('jpg')
ConvertToGrayscale(cImage)

Function ConvertToGrayscale(lcImage)
    Set Classlib To Home()+'ffc/_gdiplus.vcx' Additive
    oLogoImage = Newobject('gpBitmap',Home()+'ffc/_gdiplus.vcx')
    oLogoImage.CreateFromFile(lcImage)
    Private x,Y,nColor
    lnWidth = oLogoImage.imagewidth
    lnHeight = oLogoImage.imageheight
    For Y=0 To lnHeight-1
        For x=0 To lnwidth-1
            WAIT WINDOW NOWAIT "Width in pixels: "+TRANSFORM(x)+", Height in pixels :" +TRANSFORM(y)
            nColor = oLogoImage.GetPixel(x,Y)
            oColor = Createobject("gpColor",nColor)
            oAvg = (oColor.Red+oColor.Green+oColor.Blue)/3
            oColor.set(INT(oAvg),INT(oAvg),INT(oAvg))
               oLogoImage.SetPixel(x,Y,oColor.ARGB)
        NEXT
    NEXT
    oLogoImage.SaveToFile("c:\ex.jpg","image/jpeg", "quality=100" )
Endfunc

>I know this may sound crazy but I am looking for a way to detect specific pixels in a JPG. Basically, when someone upload a new picture on UT, most of them, even if written in the technical specifications, omit to build the one pixel black border around the picture. Yes, I know. I should have avoided that since the debut and build the image in a class that would show the specific border that I would have wanted. But, I have more than a thousands built like that so we will continue to request that one pixel black border.
>
>So, is there a way to detect that from a JPG? Basically, I would have to check each pixel of the first row, each one of the right side and so on for the color 000000. Is that doable?