imgroi.core module¶
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imgroi.core.
find_contours
(img)[source]¶ Takes an image and extracts contours from the mask.
Parameters: a_image (numpy.ndarray) – takes an image. Returns: an array with contours. Return type: (numpy.ndarray) Examples
>>> a = numpy.array([[ True, True, False], ... [False, False, False], ... [ True, True, True]], dtype=bool)
>>> find_contours(a) array([[ True, True, False], [False, False, False], [ True, True, True]], dtype=bool)
>>> find_contours(numpy.eye(3)) array([[ 1., 0., 0.], [ 0., 1., 0.], [ 0., 0., 1.]])
>>> a = numpy.array([ ... [False, False, True, False, False, False, True], ... [ True, False, False, False, True, False, False], ... [ True, True, False, True, True, False, True], ... [ True, False, False, True, True, False, False], ... [ True, False, False, False, False, False, False], ... [False, True, False, False, False, False, True], ... [False, True, True, False, False, False, False] ... ], dtype=bool)
>>> find_contours(a) array([[False, False, True, False, False, False, True], [ True, False, False, False, True, False, False], [ True, True, False, True, True, False, True], [ True, False, False, True, True, False, False], [ True, False, False, False, False, False, False], [False, True, False, False, False, False, True], [False, True, True, False, False, False, False]], dtype=bool)
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imgroi.core.
label_mask_stack
(new_masks, dtype=None)[source]¶ Takes a mask stack and replaces them by the max of an enumerated stack. In other words, each mask is replaced by a consecutive integer (starts with 1 and proceeds to the length of the given axis (0 by default)). Afterwards, the max is taken along the given axis.
Parameters: - new_masks (numpy.ndarray) – masks to enumerate
- dtype (type) – type to use for the label matrix (default is int).
Returns: an enumerated stack.
Return type: (numpy.ndarray)
Examples
>>> label_mask_stack( ... numpy.array([[[1, 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, 1, 0], ... [0, 0, 0, 0]], ... ... [[0, 0, 0, 0], ... [0, 0, 0, 0], ... [0, 0, 0, 0], ... [0, 0, 0, 1]]], dtype=bool) ... ) array([[1, 0, 0, 0], [0, 2, 0, 0], [0, 0, 3, 0], [0, 0, 0, 4]])