nowfound

Life & fun · September 22, 2015

MI

Morphological image processing

Morphological image processing launched on September 22, 2015 with 38 votes, #1,386 of 3,463 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 11 years on.

Visit danielrapp.github.io ↗Alternatives

In plain words

Morphological Image Processing is an educational resource exploring techniques for extracting borders and features from black-and-white images. It explains morphological operations including union, complement, and erosion, demonstrating how simple rules can create complex results. The resource connects these image processing concepts to cellular automata, offering insights into how basic computational operations compose to produce sophisticated visual effects. It is designed for those interested in computer vision, image analysis, and computational theory.

written from the facts on this page · September 2026

From the sources

Here's a cool little topic. Let's think about how to extract borders in an image. I'm sure you could think of hundreds of heuristics, but I'd like to discuss one particular heuristic that, indirectly, leads to some pretty cool results relating to cellular automata. The technique is called "morphology", and it's one of those ideas which starts out with very simple rules, but, when the rules are composed, can yield complex behaviour. The central components in morphology are that of a union , complement and erosion of images. We'll only be working with pure black-and-white images here, but this can all be extended (with some effort) to grayscale and color images. If we represent images $A$ and…from danielrapp.github.io

Does a similar job

all alternatives →

More life & fun this month

the category →

Source: Show HN post ↗

Launched alongside, September 2015

the whole month →