That sounds great. Would you be willing to work on integrating this into skimage? Thanks.
On Feb 26, 2015, at 11:51 AM, ciaran.robb@googlemail.com wrote:
Hi Adding to my own post but hey....
I have since written my own code which allows visualising of region properties (eg area, eccentricity etc) via colormap, if anyone is interested let me know!
Ciaran
On Sunday, February 1, 2015 at 11:45:44 PM UTC, ciara...@googlemail.com wrote: Hello everyone,
I have recently been attempting to modify some existing skimage code to display regionprops for a labeled image (e.g. area or eccentricity)
I initially tried to translate a vectorized bit of old matlab code I had, but gave up on that and decided to alter the existing label2rgb skimage function
I am attempting to change each label value to it's area property value similar to the label2rgb "avg" function.
so I have: labels = a labeled image
out = np.zeros_like(labels) #a blank array labels2 = np.unique(labels) #a vector of label vals out = np.zeros_like(labels) Props = regionprops(labels, ['Area']) bg_label=0 bg = (labels2 == bg_label) if bg.any(): labels2 = labels2[labels2 != bg_label] out[bg] = 0 for label in labels2: mask = (labels == label).nonzero() color = Props[label].area out[mask] = color but the "out" props image does not correspond to the correct area values? Can anyone help me with this? It also throws the following error: "list index out of range" It would certainly be useful to have a way to view the spatial distribution of label properties in this way - perhaps in a future skimage version?
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