It looks like it's just doing server-side http://www.imagemagick.org/Usage/morphology/#basic

Hello massive diamond kernels.

Basically we do cmd+f title a lot.

not sure why people so upset about the name, mathematical morphology is commonly used in computer vision. As far as marketing BS goes it's pretty tame compared to some of the stuff I've seen on hn.

Loops are commonly used in computer vision. And yet here we are not calling loops computer vision.

> not sure why people so upset about the name

Learned people get upset when they see grandiose or otherwise erroneous claims about trivial things, regardless of the field, because it signals either bumbling naiveté or intent to deceive, and both are perceived as dangers to the community.

> bumbling naiveté or intent to deceive

maybe the real danger to the community is unfounded hostility :/

The effects on scale are pretty good. Would be cool to see comparison vs more traditional image scaling methods. Thanks for sharing this

It's fine though because it is a good demonstration graphic.

But I get the same logo as well when tapping random on Pixel.

As for the random button the author replied and they've locked it to a single image for now to help with the load on the servers. Single image is easier to cache the responses for.

> Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at http://code.jquery.com/jquery-1.12.4.min.js. (Reason: CORS header 'Access-Control-Allow-Origin' missing).

Here are some selected functions.

Opening: http://scikit-image.org/docs/stable/api/skimage.morphology.h...

Closing: http://scikit-image.org/docs/stable/api/skimage.morphology.h...

Dilate: http://scikit-image.org/docs/stable/api/skimage.morphology.h...

I recommend starting at the user guide: http://scikit-image.org/docs/stable/user_guide.html

http://docs.opencv.org/2.4/doc/tutorials/imgproc/opening_clo...

http://docs.opencv.org/2.4/doc/tutorials/imgproc/erosion_dil...

A technique that seems to work well for it with simple drawing style icons is to thicken and simplify as the image gets smaller, so it seems like the stroke of the drawing is consistent across sizes.

Resorting to a bitmap at low resolutions seems a bit odd.

It looks like only Firefox or Opera would support an SVG favicon: https://en.wikipedia.org/wiki/Favicon#File_format_support

Even with svg, they ultimately become rasters once they are on the screen. So for favicons it might still be beneficial to control the scaling yourself with a tool like this.

"Computer vision" typically refers to computations that have an interpretative component (image analysis), i.e. programs that actually "see" something. Interpretation basically refers to the inference of the state of the "world" (or a part thereof) from an image. Image processing is often used in pre-processing for computer vision applications, but it also has many other purposes which do not need image analysis, such as in photo and video editing, as well as in generative applications, e.g. 3D engines and video games (which can in some sense be seen as the inverse of vision). Therefore, image processing is not exactly a subset of computer vision.

> Discover the deep learning tech behind Brandmark

    When
    I visit the site for the first time

    Then
    I expect to see something related to the title from the HN submission

    Except
    I see a blank page and an app that has broken in a fundamental way that I do not have expertise/time to look into