Thank you for your interest in contributing to scikit-image!
At scikit-image, our policy is to mainly incorporate the algorithms that are well-established in the image processing community, have shown high scientific impact (measured, for example, by the number of citations), and/or introduce significant improvements in a wide range of imaging tasks and domains. This way we are able to maintain the trade-off between the applicability of the library and the amount of effort required to develop and support it. Based on this cretiria, I am afraid we cannot consider for inclusion the algorithm you are proposing.
However, if you are merely looking for the ways to contribute to scikit-image, I strongly suggest to take a look at the open discussions at our github tracker - https://github.com/scikit-image/scikit-image/issues. For the new feature suggestions, you can also check https://github.com/scikit-image/scikit-image/issues?q=is%3Aopen+is%3Aissue+l... . I hope you find something interesting there!
On Mon, 20 Apr 2020 at 09:37, Sujoy Kumar Goswami < email@example.com> wrote:
Hello Sir/ Madam,
I want to contribute to scikit-image with a new edge detection technique. The paper that I have published is attached here with this email. Please go through it. If you like it, please tell me the process to move next.
Thanks & Regards, Sujoy K Goswami Principal Data Scientist TVS Motor Company India