.<https://lh5.googleusercontent.com/-qN1mjxKwVv0/Uym1xN7D6KI/AAAAAAAABs0/aWhQy...> In a greyscaled image you want to get a minimal cost path between two points (blue paths) In the specific problem corresponding to the image, sevral points belonging to the contour of an object were calculated and path were calculated between all the available pairs of points. The red path are the two paths with the minimal cost. The code is here<https://gist.github.com/jeanpat/a0d30d301ee83be2d2da#file-touchingchromosome...>. More explanations here<http://dip4fish.blogspot.fr/2012/11/using-geodesic-distance-to-resolve.html> . jean-patrick Le vendredi 14 mars 2014 22:07:20 UTC+1, Siva Prasad Varma a écrit :
Hi,
Can anyone help me understand what is skimage.graph module is intended for ?
the API Reference page<http://scikit-image.org/docs/dev/api/skimage.graph.html> for graph module does not include any description about the module. just a single line about the module would suffice like done in sklearn documentation<http://scikit-learn.org/stable/modules/classes.html#module-sklearn.cluster> .
Currently the module has Minimum Cost Path algorithms and Shortest Path. What I'm trying to figure out is why they are being kept in a separate module, as in what general context are they useful.
Thanks,
Regards, Siva Prasad Varma.