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https://github.com/wassname/scikit-image.git
synced 2026-08-05 13:21:12 +08:00
Changing the variable names of constant objects
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+15
-13
@@ -14,6 +14,13 @@ def _get_filtered_image(image, n_scales, mode):
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scales = np.zeros((image.shape[0], image.shape[1], n_scales),
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dtype=np.double)
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OCTAGON_OUTER_SHAPE = [(5, 2), (5, 3), (7, 3), (9, 4), (9, 7), (13, 7),
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(15, 10)]
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OCTAGON_INNER_SHAPE = [(3, 0), (3, 1), (3, 2), (5, 2), (5, 3), (5, 4), (5, 5)]
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STAR_SHAPE = [1, 2, 3, 4, 6, 8, 11, 12, 16, 22, 23, 32, 45, 46, 64, 90, 128]
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STAR_FILTER_SHAPE = [(1, 0), (3, 1), (4, 2), (5, 3), (7, 4), (8, 5),
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(9, 6),(11, 8), (13, 10), (14, 11), (15, 12), (16, 14)]
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if mode == 'DoB':
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for i in range(n_scales):
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n = i + 1
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@@ -39,23 +46,18 @@ def _get_filtered_image(image, n_scales, mode):
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# later for a much cleaner implementation.
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elif mode == 'Octagon':
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# TODO : Decide the shapes of Octagon filters for scales > 7
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outer_shape = [(5, 2), (5, 3), (7, 3), (9, 4), (9, 7), (13, 7),
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(15, 10)]
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inner_shape = [(3, 0), (3, 1), (3, 2), (5, 2), (5, 3), (5, 4), (5, 5)]
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for i in range(n_scales):
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scales[:, :, i] = convolve(image,
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_octagon_filter(outer_shape[i][0],
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outer_shape[i][1], inner_shape[i][0],
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inner_shape[i][1]))
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_octagon_filter_kernel(OCTAGON_OUTER_SHAPE[i][0],
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OCTAGON_OUTER_SHAPE[i][1], OCTAGON_INNER_SHAPE[i][0],
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OCTAGON_INNER_SHAPE[i][1]))
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else:
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shape = [1, 2, 3, 4, 6, 8, 11, 12, 16, 22, 23, 32, 45, 46, 64, 90, 128]
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filter_shape = [(1, 0), (3, 1), (4, 2), (5, 3), (7, 4), (8, 5),
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(9, 6),(11, 8), (13, 10), (14, 11), (15, 12), (16, 14)]
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for i in range(n_scales):
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scales[:, :, i] = convolve(image,
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_star_filter(shape[filter_shape[i][0]],
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shape[filter_shape[i][1]]))
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_star_filter_kernel(STAR_SHAPE[STAR_FILTER_SHAPE[i][0]],
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STAR_SHAPE[STAR_FILTER_SHAPE[i][1]]))
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return scales
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@@ -74,7 +76,7 @@ def _oct(m, n):
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return convex_hull_image(f).astype(int)
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def _octagon_filter(mo, no, mi, ni):
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def _octagon_filter_kernel(mo, no, mi, ni):
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outer = (mo + 2 * no)**2 - 2 * no * (no + 1)
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inner = (mi + 2 * ni)**2 - 2 * ni * (ni + 1)
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outer_weight = 1.0 / (outer - inner)
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@@ -107,7 +109,7 @@ def _star(a):
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return selem_square + selem_triangle
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def _star_filter(m, n):
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def _star_filter_kernel(m, n):
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c = m + m / 2 - n - n / 2
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outer_star = _star(m)
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inner_star = np.zeros((outer_star.shape))
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