`skimage.graph._rag:rag_boundary`

source: /dev/scikit-image/src/skimage/graph/_rag.py :398

Signature

def rag_boundary ( labels , edge_map , connectivity = 2 )

Summary

Comouter RAG based on region boundaries

Extended Summary

Given an image's initial segmentation and its edge map this method constructs the corresponding Region Adjacency Graph (RAG). Each node in the RAG represents a set of pixels within the image with the same label in labels. The weight between two adjacent regions is the average value in edge_map along their boundary.

labels: labels
edge_map: edge_map
connectivity: connectivity

Examples

from skimage import data, segmentation, filters, color, graph
img = data.chelsea()
labels = segmentation.slic(img)
edge_map = filters.sobel(color.rgb2gray(img))
rag = graph.rag_boundary(labels, edge_map)

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Aliases

skimage.graph.rag_boundary