`skimage.graph._rag:show_rag`

source: /dev/scikit-image/src/skimage/graph/_rag.py :458

Signature

   def     show_rag (    labels    ,    rag    ,    image    ,    border_color    =  black   ,    edge_width    =  1.5   ,    edge_cmap    =  magma   ,    img_cmap    =  bone   ,    in_place    =  True   ,    ax    =  None     )

Summary

Show a Region Adjacency Graph on an image.

Extended Summary

Given a labelled image and its corresponding RAG, show the nodes and edges of the RAG on the image with the specified colors. Edges are displayed between the centroid of the 2 adjacent regions in the image.

Parameters

labels : ndarray, shape (M, N): The labelled image.
rag : RAG: The Region Adjacency Graph.
image : ndarray, shape (M, N[, 3]): Input image. If colormap is None, the image should be in RGB format.
border_color : color spec, optional: Color with which the borders between regions are drawn.
edge_width : float, optional: The thickness with which the RAG edges are drawn.
edge_cmap : :py:class:`matplotlib.colors.Colormap`, optional: Any matplotlib colormap with which the edges are drawn.
img_cmap : :py:class:`matplotlib.colors.Colormap`, optional: Any matplotlib colormap with which the image is draw. If set to None the image is drawn as it is.
in_place : bool, optional: If set, the RAG is modified in place. For each node n the function will set a new attribute rag.nodes[n]['centroid'].
ax : :py:class:`matplotlib.axes.Axes`, optional: The axes to draw on. If not specified, new axes are created and drawn on.

Returns

lc : :py:class:`matplotlib.collections.LineCollection`: A collection of lines that represent the edges of the graph. It can be passed to the matplotlib.figure.Figure.colorbar function.

Examples

from skimage import data, segmentation, graph
import matplotlib.pyplot as plt
img = data.coffee()
labels = segmentation.slic(img)
g =  graph.rag_mean_color(img, labels)
lc = graph.show_rag(labels, g, img)
cbar = plt.colorbar(lc)

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Aliases

skimage.graph.show_rag