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  1. not much. if you increase the radius, the sampled region will get larger, but you might miss a fine edge, because the sampled points are further apart.

  2. each additional neighbour will increase the feature vec by a factor of 2 (2 ^ x bins needed per histogram)

  3. if you increase the grid count (and make the patches smaller), less pixels will be in each histogram, making them more "sparse"

in general, larger feature vectors give more precision (up to some point, where you reach the "curse of dimensionality"), but compared to what ? with the defaults, you should get 8 x 8 x 256 = 16384 numbers.

though you're highly encouraged to play with the params there, they seem to be quite optimal already.