VFX Atlas
M 054 / 18302 Masks & Controlalgorithm output

Mean Shift Segmentation

masks & control

Typeface · Geologica

Atlas demonstration: the free source photo and the computed Mean Shift Segmentation. This image portrays a weathered, rust-colored train car abandoned in a bright landscape under a blue sky. The process is highly apparent in the way the rust and metal surfaces have been reduced to flat, jagged planes of solid color.
Atlas demonstration: the free source photo and the computed Mean Shift Segmentation. This image portrays a weathered, rust-colored train car abandoned in a bright landscape under a blue sky. The process is highly apparent in the way the rust and metal surfaces have been reduced to flat, jagged planes of solid color.Image: Ryan Hafey ryanhafey · CC0 (via Wikimedia Commons), processed for the AtlasView source ↗

Prompt

Apply a Mean Shift Segmentation effect, merging neighboring areas of similar color into distinct, nearly uniform patches. Preserve major color relationships and recognizable silhouettes while flattening fine texture, reducing grain, and simplifying shading into broad regions with clean, slightly organic boundaries. Keep the original subject and composition.

Paste it into LetzAI with your own image to apply the effect ↗

Identify

You see a simplified image where similar colors and textures are grouped into distinct, uniform patches1.

Principle

The algorithm finds dense clusters2 of pixels with similar colors and locations. It shifts each pixel toward the center of its nearest cluster, merging them into flat regions.

Try it out

Adjust the color and spatial radius to see patches merge or split into finer details.

Classification

Calculated image processing result.

Further examples · 9 images

Mean Shift Segmentation, applied to “Half-frozen mountain lake (Unsplash)”
02 Mean Shift Segmentation, applied to “Half-frozen mountain lake (Unsplash)”Jagged mountain peaks partially obscured by mist overlook a valley of dark evergreen trees. The effect is unmistakable in the snow-covered slopes and the foggy sky, which appear as smooth, contiguous patches of white and grey.Erik Ringsmuth erikringsmuth (photo); processed for the Atlas · CC0 · Wikimedia Commons
Mean Shift Segmentation, applied to “Uppsala Library (Unsplash)”
03 Mean Shift Segmentation, applied to “Uppsala Library (Unsplash)”Numerous books are arranged neatly on several levels of a bright yellow wooden bookshelf. The computational method is highly effective here, turning each book spine into a clean, solid rectangle devoid of fine print or texture.Aleksi Tappura a (photo); processed for the Atlas · CC0 · Wikimedia Commons
Mean Shift Segmentation, applied to “People sitting and drinking (Unsplash)”
04 Mean Shift Segmentation, applied to “People sitting and drinking (Unsplash)”This landscape captures a group of people silhouetted against a vibrant sunset on a lake pier. The algorithm has reduced the complex light gradients into distinct, flat bands of orange and solid black shapes for the figures.Dawid Zawiła davealmine (photo); processed for the Atlas · CC0 · Wikimedia Commons
Mean Shift Segmentation, applied to “Grossed Out (Unsplash)”
05 Mean Shift Segmentation, applied to “Grossed Out (Unsplash)”A young man in a white t-shirt and baseball cap stands against a clear blue sky. The computation creates a posterized look by grouping skin tones and fabric folds into sharp, hard-edged geometric regions.Ashton Bingham ashtonbingham (photo); processed for the Atlas · CC0 · Wikimedia Commons
Mean Shift Segmentation, applied to “Music and flowers (Unsplash)”
06 Mean Shift Segmentation, applied to “Music and flowers (Unsplash)”A pair of blue headphones lies nestled among green foliage and small pink flowers. The algorithm clearly separates the mechanical lines of the headphones and the organic petal shapes into simplified, painterly patches.Sai Kiran Anagani _imkiran (photo); processed for the Atlas · CC0 · Wikimedia Commons
Mean Shift Segmentation, applied to “We the people 1 (Unsplash)”
07 Mean Shift Segmentation, applied to “We the people 1 (Unsplash)”A crowd of people gathers at a protest, holding a large poster featuring a woman's portrait. The algorithm creates a posterized appearance where the skin tones and building windows are simplified into distinct, geometric color blocks.Alice Donovan Rouse alicekat (photo); processed for the Atlas · CC0 · Wikimedia Commons
Mean Shift Segmentation, applied to “Forest boardwalk (Unsplash)”
08 Mean Shift Segmentation, applied to “Forest boardwalk (Unsplash)”A narrow wooden path winds through a dense, sun-dappled green forest. The segmentation is visible in the leafy canopy, which has been transformed into a mosaic of uniform green shades that obscure individual leaves.Bryan Rodriguez yosoybrod (photo); processed for the Atlas · CC0 · Wikimedia Commons
Mean Shift Segmentation, applied to “Men with luggage and train (Unsplash)”
09 Mean Shift Segmentation, applied to “Men with luggage and train (Unsplash)”A group of workers in hats and overalls are captured in a high-contrast black and white scene. The clustering is evident in the broad, posterized shadows on the ground and the flat grey regions on the men's clothing.Jason Briscoe jbriscoe (photo); processed for the Atlas · CC0 · Wikimedia Commons

Sources