M 029 / 18301 Edge & Featuresalgorithm output

MSER Regions

edge & features

Typeface · Sometype Mono

Atlas demonstration: the free source photo and the computed MSER Regions. A collection of rustic wooden crates features printed text for salt and pepper storage. The algorithm identifies the high-contrast letterforms and grain patterns as stable regions, outlining them with vibrant geometric shapes.
Atlas demonstration: the free source photo and the computed MSER Regions. A collection of rustic wooden crates features printed text for salt and pepper storage. The algorithm identifies the high-contrast letterforms and grain patterns as stable regions, outlining them with vibrant geometric shapes.Image: Clem Onojeghuo clemono2 · CC0 (via Wikimedia Commons), processed for the AtlasView source ↗

Prompt

Apply MSER Regions as an overlay of selectively outlined, translucent colored patches around distinctive connected light and dark areas. Include nested regions where appropriate, leave unstable textures unmarked, and avoid tracing every edge. Retain the original photographic detail beneath crisp region boundaries. Keep the original subject and composition.

Identify

You see marked patches that pick out distinctive light or dark areas, rather than every visible edge.

Principle

MSER tracks connected regions1 across brightness thresholds2, testing dark and bright patches separately. It selects regions whose relative area changes least over nearby thresholds.

Try it out

Compare lettering, windows, and foliage to see which patches form stable regions.

Classification

Calculated image processing result.

Further examples · 9 images

MSER Regions, applied to “Cape Nelson Lighthouse, Portland West, Australia (Unsplash)”
02 MSER Regions, applied to “Cape Nelson Lighthouse, Portland West, Australia (Unsplash)”Rocky outcroppings meet the churning white foam of the sea along a dark coastline. The process isolates individual patches of bright surf and highlights on the water, mapping the irregular shapes of the crashing waves.Rene Bieder renebieder (photo); processed for the Atlas · CC0 · Wikimedia Commons
MSER Regions, applied to “View of north side Saint-Gaudens lion and courtyard windows looking towards southeast, Grand Staircase, construction of the McKim Building”
03 MSER Regions, applied to “View of north side Saint-Gaudens lion and courtyard windows looking towards southeast, Grand Staircase, construction of the McKim Building”The interior of a grand hall is shown with arched windows and an ornate coffered ceiling. The regions highlight the stable areas of light entering through the windows and the recessed geometric patterns of the architectural details.McKim, Mead & White; Saint-Gaudens, Louis, 1854 (photo); processed for the Atlas · Public domain · Wikimedia Commons
MSER Regions, applied to “Running after a subway (Unsplash)”
04 MSER Regions, applied to “Running after a subway (Unsplash)”A wide shot shows the platform of a subway station with a person walking past pillars. Colored outlines isolate specific high-contrast elements like station signs and rectangular lighting fixtures against the dark environment.Matthew Henry matthewhenry (photo); processed for the Atlas · CC0 · Wikimedia Commons
MSER Regions, applied to “Row of wooden boats (Unsplash)”
05 MSER Regions, applied to “Row of wooden boats (Unsplash)”Several wooden rowboats are seen from an elevated angle, showing their internal floor slats and oars. The markers perfectly trace the linear patterns of the bright wooden floorboards and the distinct rectangular shapes of the seats.David Cohen dcp (photo); processed for the Atlas · CC0 · Wikimedia Commons
MSER Regions, applied to “Letchworth Garden City, United Kingdom (Unsplash eCre0iMGtEA)”
06 MSER Regions, applied to “Letchworth Garden City, United Kingdom (Unsplash eCre0iMGtEA)”A close-up view provides a dense arrangement of red strawberries in plastic containers. The algorithm isolates individual highlights on the fruit surfaces and the specific geometric shapes of the container edges.Clem Onojeghuo clemono2 (photo); processed for the Atlas · CC0 · Wikimedia Commons
MSER Regions, applied to “Rolleiflex SL35 camera in Medan, Indonesia (Unsplash)”
07 MSER Regions, applied to “Rolleiflex SL35 camera in Medan, Indonesia (Unsplash)”A vintage film camera sits centered on a wooden surface against a stark, dark background. Colored outlines congregate around the bright reflections on the lens glass and the metallic trim of the camera body.Hanny Naibaho hannynaibaho (photo); processed for the Atlas · CC0 · Wikimedia Commons
MSER Regions, applied to “Two Hands Cafe, New York, United States (Unsplash KCOqLoqpfk)”
08 MSER Regions, applied to “Two Hands Cafe, New York, United States (Unsplash KCOqLoqpfk)”A woman is captured in a quiet moment while drinking from a pale ceramic cup. The computational analysis picks out bright reflections on her fingernails and highlights along the cup's rim against the darker background.Drew Coffman drewcoffman (photo); processed for the Atlas · CC0 · Wikimedia Commons
MSER Regions, applied to “Vintage (Unsplash)”
09 MSER Regions, applied to “Vintage (Unsplash)”A classic car is parked on a sunlit street, casting a long shadow across the pavement. The detection system identifies the specular highlights on the chrome bumper and the high-contrast edges of the vehicle's trim.Sebastian Grochowicz sebastiangrochowicz (photo); processed for the Atlas · CC0 · Wikimedia Commons

Sources