Show HN: Image segmentation and background removal in JavaScript (opens in new tab)

Congrats! Looks beautiful, makes the whole process so easy. This will save so much time to many people.

Thanks, I added it to the readme.

Depending on the size of the object you are trying to segment relative to the image, you can adjust the size of superpixels. To segment parts such as clothes you can set large superpixel size by enabling developer option on top right corner. You can also see superpixels rendered to understand which size gives best results. This method can perform even approximate non-interactive segmentation.

It will be released under Open Source compatible license, I just need to make sure since I am a PhD student.

Note that the underlying algorithm implementations are MIT licensed.

https://github.com/kyamagu/js-segment-annotator/blob/master/...

Its actually based on https://github.com/kyamagu/js-segment-annotator which implements two algorithm SLIC and PF.

Regarding compiling C using emscripten, I wanted a pure JS implementation so that it was hackable using Chrome Developer tools, E.g. using LAB data internally produced by SLIC algorithm. Hopefully in future, I will use a emscripten implementation. It might be important for version that proceses short gifs or videos.

Also there is a developer mode on top right, enabling it allows visualization of superpixels and change parameters of the algorithm.

OpenCV has GrabCut implementation which works on android. There are numerous implementations of SLIC superpixels. Even this will work through a cordova style wrapper, but I would really not recommend it, since you can use a much faster and accurate native OpenCV on android.