I have implemented the erosion and dilation algorithms. I have tried to follow all the instructions from the guidelines. I wanted to know if you could have a look at it and tell me if it's ready for a PR review? My implementation can be found in this commit. https://github.com/ayushbansal07/gil/commit/f9105e6f030a0cc4c806ebe4024f6895... Here, I implemented the 1. algorithms in file - include/boost/gil/image_processing/morph.hpp 2. an example in file - example/morph.cpp 3. Ran erosion and dilation on example/test_adaptive.png and saved the output files in example/dilated_image.png and example/eroded_image.png I also ran erosion and dilation using openCV on the above file and found same effects on output file. Please let me know of your thoughts. On Sat, Feb 1, 2020 at 5:31 AM Mateusz Loskot via Boost < boost@lists.boost.org> wrote:
On Thu, 30 Jan 2020 at 15:31, Mateusz Loskot
wrote: On Thu, 30 Jan 2020 at 15:05, Ayush Bansal via Boost < boost@lists.boost.org> wrote:
For my competency test, I was interested in doing the implementation of convolution filter and use it to detect edges.
FYI, please watch https://github.com/boostorg/boost/wiki/Google-Summer-of-Code%3A-2020 as the GIL competency test section may receive some updates during next days.
As mentioned earlier, I have just added bonus project to the GIL competency test at https://github.com/boostorg/boost/wiki/Google-Summer-of-Code:-2020
Best regards, -- Mateusz Loskot, http://mateusz.loskot.net
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