From 6559b8f31ddf2f79fac5a805f0e92bd9bb4a64f9 Mon Sep 17 00:00:00 2001 From: emmanuelle Date: Sat, 21 Jan 2012 12:34:34 +0100 Subject: [PATCH] ENH Removed unused argument in random_walker_segmentation --- skimage/segmentation/random_walker_segmentation.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/skimage/segmentation/random_walker_segmentation.py b/skimage/segmentation/random_walker_segmentation.py index 1847379a..207a052a 100644 --- a/skimage/segmentation/random_walker_segmentation.py +++ b/skimage/segmentation/random_walker_segmentation.py @@ -60,7 +60,7 @@ def _make_graph_edges_3d(n_x, n_y, n_z): return edges -def _compute_weights_3d(edges, data, beta=130, eps=1.e-6): +def _compute_weights_3d(data, beta=130, eps=1.e-6): gradients = _compute_gradients_3d(data) ** 2 beta /= 10 * data.std() gradients *= beta @@ -144,7 +144,7 @@ def _mask_edges_weights(edges, weights, mask): def _build_laplacian(data, mask=None, beta=50): l_x, l_y, l_z = data.shape edges = _make_graph_edges_3d(l_x, l_y, l_z) - weights = _compute_weights_3d(edges, data, beta=beta, eps=1.e-10) + weights = _compute_weights_3d(data, beta=beta, eps=1.e-10) if mask is not None: edges, weights = _mask_edges_weights(edges, weights, mask) lap = _make_laplacian_sparse(edges, weights)