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DOC: Reformat shape argument
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@@ -58,7 +58,7 @@ def regionprops(label_image, properties=['Area', 'Centroid'],
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Parameters
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----------
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label_image : N x M ndarray
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label_image : (N, M) ndarray
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Labelled input image.
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properties : {'all', list}
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Shape measurements to be determined for each labelled image region.
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@@ -71,7 +71,7 @@ def regionprops(label_image, properties=['Area', 'Centroid'],
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* BoundingBox : tuple
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Bounding box `(min_row, min_col, max_row, max_col)`
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* CentralMoments : 3 x 3 ndarray
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* CentralMoments : (3, 3) ndarray
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Central moments (translation invariant) up to 3rd order.
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mu_ji = sum{ array(x, y) * (x - x_c)^j * (y - y_c)^i }
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@@ -137,14 +137,14 @@ def regionprops(label_image, properties=['Area', 'Centroid'],
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The length of the minor axis of the ellipse that has the same
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normalized second central moments as the region.
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* Moments : 3 x 3 ndarray
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* Moments : (3, 3) ndarray
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Spatial moments up to 3rd order.
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m_ji = sum{ array(x, y) * x^j * y^i }
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where the sum is over the `x`, `y` coordinates of the region.
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* NormalizedMoments : 3 x 3 ndarray
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* NormalizedMoments : (3, 3) ndarray
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Normalized moments (translation and scale invariant) up to 3rd
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order.
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@@ -164,7 +164,7 @@ def regionprops(label_image, properties=['Area', 'Centroid'],
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* Solidity : float
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Ratio of pixels in the region to pixels of the convex hull image.
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* WeightedCentralMoments : 3 x 3 ndarray
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* WeightedCentralMoments : (3, 3) ndarray
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Central moments (translation invariant) of intensity image up to 3rd
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order.
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@@ -188,7 +188,7 @@ def regionprops(label_image, properties=['Area', 'Centroid'],
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where the sum is over the `x`, `y` coordinates of the region.
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* WeightedNormalizedMoments : 3 x 3 ndarray
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* WeightedNormalizedMoments : (3, 3) ndarray
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Normalized moments (translation and scale invariant) of intensity
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image up to 3rd order.
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