Hello! I am a great fan of scikit-learn and have used it in a number of various projects so far. This time, I want to contribute to the project. I have implemented Livewire segmentation algorithm for image segmentation and would like to bring it into the main package. My code is hosted on github, it is documented with sphinx and tested. Livewire segmentation technique deduces object boundaries in the image by converting the image to a weighted graph where edges' weights are computed from the gradient image. The shortest path algorithm minimises the total cost function, thus avoiding steep gradients (i.e. object boundaries in the original image). An example of how the algorithm works you will find in my repository: https://github.com/pdyban/livewire. The API is straightforward: from livewire import LiveWireSegmentationalgorithm = LiveWireSegmentation(image)path = algorithm.compute_shortest_path((0, 0), (10, 25)) Do you think this algorithm would be needed inside scikit-image? If yes, would that belong inside segmentation module? Could someone assist me in my first open source contribution? It would be great if I could contribute to your project! Thanks!
Hi Pavlo
On 22 February 2016 at 13:43, Pavlo Dyban
Hello! I am a great fan of scikit-learn and have used it in a number of various projects so far. This time, I want to contribute to the project. I have implemented Livewire segmentation algorithm for image segmentation and would like to bring it into the main package. My code is hosted on github, it is documented with sphinx and tested.
Thanks for your interest in contributing to scikit-image!
Livewire segmentation technique deduces object boundaries in the image by converting the image to a weighted graph where edges' weights are computed from the gradient image. The shortest path algorithm minimises the total cost function, thus avoiding steep gradients (i.e. object boundaries in the original image). An example of how the algorithm works you will find in my repository: https://github.com/pdyban/livewire.
I've only heard of livewire in terms of interactive work. Is it commonly used as a stand-alone technique?
Do you think this algorithm would be needed inside scikit-image? If yes, would that belong inside segmentation module? Could someone assist me in my first open source contribution? It would be great if I could contribute to your project! Thanks!
It may well be--I will rely on our segmentation specialists Emmanuelle and Juan to take a look. Do you perhaps have a citation for this method? We're happy to help you get pull requests off the ground. In the mean time, take a look at: http://scikit-image.org/docs/stable/contribute.html Thanks! Stéfan
participants (2)
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Pavlo Dyban -
Stéfan van der Walt