Produces an oversegmentation of the image using the quickshift mode-seeking algorithm.

Parameters

image : (width, height, channels) ndarray

Input image.

kernel_size : float

Width of Gaussian kernel used in smoothing the sample density. Higher means fewer clusters.

max_dist : float

Cut-off point for data distances. Higher means fewer clusters.

return_tree : bool

Whether to return the full segmentation hierarchy tree and distances.

random_seed : int

Random seed used for breaking ties.

Returns

segment_mask : (width, height) ndarray

Integer mask indicating segment labels.

Segments image using quickshift clustering in Color-(x,y) space.

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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