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https://github.com/wassname/scikit-image.git
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fixed doc strings and commentaries
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@@ -21,7 +21,7 @@ def _glcm_loop(cnp.uint16_t[:, ::1] image, double[:] distances,
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Parameters
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----------
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image : ndarray
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Input image, which is converted to the uint8 data type.
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Input image. The image will be cast to uint16.
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distances : ndarray
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List of pixel pair distance offsets.
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angles : ndarray
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@@ -29,10 +29,8 @@ def _glcm_loop(cnp.uint16_t[:, ::1] image, double[:] distances,
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levels : int
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The input image should contain integers in [0, levels-1],
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where levels indicate the number of grey-levels counted
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(typically 256 for an 8-bit image). Be aware that the co-occurrence
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matrix for every angle and every distance is of size levels x levels.
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Choosing a too large level might result in exceedingly large matrix.
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If you have 16 bit or 32 bit images, consider binning.
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(typically 256 for an 8-bit image). This argument is required for
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16-bit images and is typically the maximum of the image.
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out : ndarray
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On input a 4D array of zeros, and on output it contains
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the results of the GLCM computation.
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@@ -105,7 +105,7 @@ def greycomatrix(image, distances, angles, levels=None, symmetric=False,
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#if image.dtype in [np.float, np.float16, np.float32, np.float]
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if image.dtype == np.float:
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raise ValueError("Float images are not supported by greycomatrix."
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"The image needs to be casted to uint8 or uint16.")
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"The image needs to be casted to an unsigned integer type.")
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# for 16 bit images, levels must be set.
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if image.dtype != np.uint8:
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