By weighing for the amplitude, we consider the SNR of the underlying data, allowing us to differentiate between scenarios with similar angular distributions, but different intensities, for example, a random (WOP = 0) area that is caused by a noisy background, or one that is caused by an isotropic region of high intensity. The former will have little impact on an anisotropic region, whereas the latter will have a larger impact. The size of the area used is denoted by a neighbourhood size, which is an odd number representing the size of the square used, i.e. a neighbourhood size of 3 leads to a 3x3 square of subregions.