Comparing bitmap data in AS3 pixel for pixel

问题

I am looking for a fairly simple image comparison method in AS3. I have taken an image from a web cam (with no subject) passed it in to bitmap data, then a second image is taken (this time with a subject) to compare this data, from these two images I would like to create a mask from the pixels that match on both bitmaps. I have been scratching my head for a while, and I am not really making any progress. Could any one point me in the right direction for pixel comparison method, something like getPixel32()

Cheers

Jono

回答1:

use compare to create a difference between the two and then use treshold to extract the parts that interest you.

edit: actually it is pretty straight forward. the trick is to apply the threshold multiple times per channel using the mask parameter (otherwise the comparison only makes little sense, since 0x010000 (which is almost black) is consider greater than 0x0000FF (which is anything but black)). here's how:

var dif:BitmapData;//your original bitmapdata
var mask:BitmapData = new BitmapData(dif.width, dif.height, true, 0);
const threshold:uint = 0x20;
for (var i:int = 0; i < 3; i++) 
    mask.threshold(dif, dif.rect, new Point(), ">", threshold << (i * 8), 0xFF000000, 0xFF << (i * 8));

this creates a transparent mask. then the threshold is applied for all three channels, setting the alpha channel to fully opaque where the channels value exceeds the threshold value (you might wanna decrease it).

you can isolate the foreground object ("the guy in front of the webcam") by copying the alpha channel from the mask to the current video image.

回答2:

one of the problems here is that you want to find if a pixel has ANY change to it, and if it does then to convert that pixel to another color (for masking). Unfortunately, a webcam's quality isn't great so even if your scene does not change at all the bitmapdata coming from the webcam will change slightly. Therefor, when your subject steps into frame...you will get pixel changes for the subject...but also noise in other areas due to lighting changes or camera quality. What you'll need to do is write a function that analyzes the result of a bitmapdaya.compare() for change in area's larger than _____ to determine if there is enough change to warrant an actual object being there. That will help remove noise and make your mask more accurate.

来源：https://stackoverflow.com/questions/2544330/comparing-bitmap-data-in-as3-pixel-for-pixel