_apply_vector_per_pixel(func, image, selem, out, mask, shift_x, shift_y, out_dtype=None, pixel_size=1)

Parameters

func : function

Cython function to apply.

image : 2-D array (integer or float)

Input image.

selem : 2-D array (integer or float)

The neighborhood expressed as a 2-D array of 1's and 0's.

out : 2-D array (integer or float)

If None, a new array is allocated.

mask : ndarray (integer or float)

Mask array that defines (>0) area of the image included in the local neighborhood. If None, the complete image is used (default).

shift_x, shift_y : int

Offset added to the structuring element center point. Shift is bounded to the structuring element sizes (center must be inside the given structuring element).

out_dtype : data-type, optional

Desired output data-type. Default is None, which means we cast output in input dtype.

pixel_size : int, optional

Dimension of each pixel.

Returns

out : 3-D array with float dtype of dimensions (H,W,N), where (H,W) are

the dimensions of the input image and N is n_bins or image.max() + 1 if no value is provided as a parameter. Effectively, each pixel is a N-D feature vector that is the histogram. The sum of the elements in the feature vector will be 1, unless no pixels in the window were covered by both selem and mask, in which case all elements will be 0.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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File: /skimage/filters/rank/generic.py#192
type: <class 'function'>
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