backgroundparameter) should be considered the background, which you want to remove from the second source image (the
sourceparameter). So, if the color of a pixel in the second image is close to the color of the corresponding pixel from the first, then that pixel is a background pixel, and you should return
Color.BLUE. Otherwise, return the color of the pixel from the second image. For the provided images, the result should be a bear by itself on a blue background. (Note: We do not live in a perfect world. Since the two images were taken at two different times, lighting conditions are not exactly the same. As a result, corresponding pixels in the background may be slightly different in the two images. This is why you need to determine if the pixels are "close enough," by some measure. It will not be sufficient to see if the corresponding pixels match exactly.) You may have a few stray pixels in the result, but you should devise a closeness measure that avoids having a lot of them.
Color.BLUE, use the color from the second image (the
When you compare two colors for equality, use the equals method of the first color. For example, to find out if Color c is blue, you should write c.equals(Color.BLUE) but you should not write c == Color.BLUE because the == operator checks to see if both sides refer to the same object. The == operator does not look inside the objects to see if they contain the same values, so it would evaluate to false for different objects that hold the same values.
Test your method by putting a different background behind the "bear on blue" image that you created above.
Note: You can use the browse button above any NIP panel to load an image file into that panel.