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Microscopy Image Browser
1.233
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IMRAG Region adjacency graph of a labeled image. More...
Functions | |
function
varargout = | imRAG (img, varargin) |
IMRAG Region adjacency graph of a labeled image. More... | |
IMRAG Region adjacency graph of a labeled image.
function varargout = imRAG | ( | img, | |
varargin | |||
) |
IMRAG Region adjacency graph of a labeled image.
LBL1 is given in ascending order, LBL2 is given in ascending order for
[NODES, ADJ] = imRAG(IMG); Return two arrays: the first one is a [N*2] array containing centroids of the N labeled region, and ADJ is the adjacency previously described. For 3D images, the nodes array is [N*3].
Example (requires image processing toolbox) read and display an image with several objects img = imread(coins.png
); figure(1); clf; imshow(img); hold on; compute the Skeleton by influence zones using watershed bin = imfill(img>100, holes
); dist = bwdist(bin); wat = watershed(dist, 4); compute overlay image for display tmp = uint8(double(img).*(wat>0)); ovr = uint8(cat(3, max(img, uint8(255*(wat==0))), tmp, tmp)); imshow(ovr); show the resulting graph [n e] = imRAG(wat); for i = 1:size(e, 1) plot(n(e(i,:), 1), n(e(i,:), 2), linewidth
, 4, color
, g
); end plot(n(:,1), n(:,2), bo
, markerfacecolor
, b
);
Create a basic 3D image with labels, and compute RAG germs = [50 50 50;... 20 20 20;80 20 20;20 80 20;80 80 20; ... 20 20 80;80 20 80;20 80 80;80 80 80]; img = zeros([100 100 100]); for i = 1:size(germs, 1) img(germs(i,1), germs(i,2), germs(i,3)) = 1; end wat = watershed(bwdist(img), 6); [n e] = imRAG(wat); figure; drawGraph(n, e); view(3);
Author: David Legland e-mail: david Created: 2004-02-20, Copyright 2007 INRA - BIA PV Nantes - MIAJ Jouy-en-Josas. .leg land@ grig non.i nra. fr
Referenced by ibwatershedGui>superpixelsBtn_Callback(), and mibClassifier>calcFeaturesBtn_Callback().