mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 19:33:19 +08:00
Vighnesh Birodkar
127 lines
3.3 KiB
Cython
127 lines
3.3 KiB
Cython
import rag
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cimport numpy as cnp
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import numpy as np
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def construct_rag_meancolor_3d( img, arr):
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cdef Py_ssize_t l, b, h, i, j, k
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cdef cnp.int32_t current, next
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l = arr.shape[0]
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b = arr.shape[1]
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h = arr.shape[2]
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g = rag.RAG()
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i = 0
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while i < l - 1:
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j = 0
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while j < b - 1:
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k = 0
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while k < h - 1:
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current = arr[i, j, k]
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try :
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g.node[current]['pixel_count'] += 1
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g.node[current]['total_color'] += img[i,j]
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except KeyError:
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g.add_node(current)
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g.node[current]['pixel_count'] = 1
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g.node[current]['total_color'] = img[i,j].astype(np.long)
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g.node[current]['labels'] = [arr[i,j]]
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next = arr[i + 1, j, k]
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if current != next:
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g.add_edge(current, next)
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next = arr[i, j + 1, k]
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if current != next:
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g.add_edge(current, next)
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next = arr[i + 1, j + 1, k]
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if current != next:
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g.add_edge(current, next)
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next = arr[i + 1, j, k + 1]
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if current != next:
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g.add_edge(current, next)
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next = arr[i, j + 1, k + 1]
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if current != next:
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g.add_edge(current, next)
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next = arr[i + 1, j + 1, k + 1]
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if current != next:
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g.add_edge(current, next)
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next = arr[i, j, k + 1]
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if current != next:
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g.add_edge(current, next)
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k += 1
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j += 1
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i += 1
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for n in g.nodes():
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g.node[n]['mean_color'] = g.node[n]['total_color']/g.node[n]['pixel_count']
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for x,y in g.edges_iter() :
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diff = g.node[x]['mean_color'] - g.node[y]['mean_color']
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g[x][y]['weight'] = np.sqrt(diff.dot(diff))
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return g
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def construct_rag_meancolor_2d(img, arr):
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cdef Py_ssize_t l, b, h, i, j, k
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cdef cnp.int32_t current, next
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l = arr.shape[0]
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b = arr.shape[1]
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g = rag.RAG()
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i = 0
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while i < l - 1:
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j = 0
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while j < b - 1:
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current = arr[i, j]
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try :
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g.node[current]['pixel_count'] += 1
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g.node[current]['total_color'] += img[i,j]
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except KeyError:
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g.add_node(current)
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g.node[current]['pixel_count'] = 1
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g.node[current]['total_color'] = img[i,j].astype(np.long)
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g.node[current]['labels'] = [arr[i,j]]
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next = arr[i + 1, j]
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if current != next:
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g.add_edge(current, next)
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next = arr[i, j + 1]
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if current != next:
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g.add_edge(current, next)
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next = arr[i + 1, j + 1]
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if current != next:
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g.add_edge(current, next)
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j += 1
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i += 1
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for n in g.nodes():
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g.node[n]['mean_color'] = g.node[n]['total_color']/g.node[n]['pixel_count']
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for x,y in g.edges_iter() :
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diff = g.node[x]['mean_color'] - g.node[y]['mean_color']
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g[x][y]['weight'] = np.sqrt(diff.dot(diff))
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return g
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