Python _slow_watershed Examples

Programming Language: Python

Namespace/Package Name: skimage.morphology.watershed

Method/Function: _slow_watershed

Examples at hotexamples.com: 2

Python _slow_watershed - 2 examples found. These are the top rated real world Python examples of skimage.morphology.watershed._slow_watershed extracted from open source projects. You can rate examples to help us improve the quality of examples.

Example #1

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 def test_watershed01(self):
     "watershed 1"
     data = np.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
                      [0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 0],
                      [0, 1, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 1, 0],
                      [0, 1, 0, 0, 0, 1, 0], [0, 1, 1, 1, 1, 1, 0],
                      [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0]],
                     np.uint8)
     markers = np.array([[-1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
                         [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
                         [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0],
                         [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
                         [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0]],
                        np.int8)
     out = watershed(data, markers, self.eight)
     expected = np.array([[-1, -1, -1, -1, -1, -1, -1],
                          [-1, -1, -1, -1, -1, -1, -1],
                          [-1, -1, -1, -1, -1, -1, -1],
                          [-1, 1, 1, 1, 1, 1, -1], [-1, 1, 1, 1, 1, 1, -1],
                          [-1, 1, 1, 1, 1, 1, -1], [-1, 1, 1, 1, 1, 1, -1],
                          [-1, 1, 1, 1, 1, 1, -1],
                          [-1, -1, -1, -1, -1, -1, -1],
                          [-1, -1, -1, -1, -1, -1, -1]])
     error = diff(expected, out)
     assert error < eps
     out = _slow_watershed(data, markers, 8)
     error = diff(expected, out)
     assert error < eps

Example #2

Show file

File: test_watershed.py Project: neurodebian/scikits.image-1

 def test_watershed01(self):
     "watershed 1"
     data = np.array(
         [
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 1, 1, 1, 1, 1, 0],
             [0, 1, 0, 0, 0, 1, 0],
             [0, 1, 0, 0, 0, 1, 0],
             [0, 1, 0, 0, 0, 1, 0],
             [0, 1, 1, 1, 1, 1, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
         ],
         np.uint8,
     )
     markers = np.array(
         [
             [-1, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 1, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
             [0, 0, 0, 0, 0, 0, 0],
         ],
         np.int8,
     )
     out = watershed(data, markers, self.eight)
     expected = np.array(
         [
             [-1, -1, -1, -1, -1, -1, -1],
             [-1, -1, -1, -1, -1, -1, -1],
             [-1, -1, -1, -1, -1, -1, -1],
             [-1, 1, 1, 1, 1, 1, -1],
             [-1, 1, 1, 1, 1, 1, -1],
             [-1, 1, 1, 1, 1, 1, -1],
             [-1, 1, 1, 1, 1, 1, -1],
             [-1, 1, 1, 1, 1, 1, -1],
             [-1, -1, -1, -1, -1, -1, -1],
             [-1, -1, -1, -1, -1, -1, -1],
         ]
     )
     error = diff(expected, out)
     assert error < eps
     out = _slow_watershed(data, markers, 8)
     error = diff(expected, out)
     assert error < eps