M 007 / 18301 Edge & Featuresalgorithm output

Roberts Cross

edge & feature detection

Typeface · VT323

Real-world algorithm demonstration, applied to a NASA portrait.
Real-world algorithm demonstration, applied to a NASA portrait.Image: NASA / Eileen Collins · scikit-image (public domain)View source ↗

Prompt

Apply Roberts Cross, producing a dark monochrome edge map with extremely fine, pixel-sharp traces of local contrast. Emphasize diagonal transitions, tiny angular details, and lightly speckled texture noise. Keep boundaries narrow and somewhat fragmented, without broad halos or smoothing. Keep the original subject and composition.

Identify

Very fine, often noisy1 diagonal contrast edges.

Principle

Small 2×2 diagonal operators2 measure local differences.

Try it out

Compare directly with Canny.

Classification

Calculated image processing result.

Further examples · 7 images

050817-N-3488C-028-RobertsCross
02 050817-N-3488C-028-RobertsCrossA fighter jet is shown processed with the Roberts Cross edge detection algorithm. The result displays thin, high-contrast outlines against a black background, emphasizing sharp intensity changes.R6MaY89 · Public domain · Wikimedia Commons
Roberts cross stärke
03 Roberts cross stärkeArchitecture is shown with inverted Roberts Cross processing. The thin dark lines on a white field highlight the algorithm's sensitivity to fine diagonal contrast details.user Pale blue dot, real name, Ali Imran, de:Benutzer:Drill · CC BY-SA 3.0 · Wikimedia Commons
Fruits edge
04 Fruits edgeAn image of fruit processed with the Roberts Cross edge detector. The result shows very fine, white intensity outlines on a black background, capturing the high-frequency diagonal contrast edges characteristic of the 2x2 operator.Sean121067 · CC0 · Wikimedia Commons
Valve Roberts
05 Valve RobertsA processed grayscale image showing thin, light outlines on a black background. The output demonstrates the Roberts Cross edge detection operator, highlighting contrast boundaries in a mechanical subject using 2x2 diagonal differences.Simpsons contributor · CC BY-SA 3.0 · Wikimedia Commons
AI illustration: A brutalist building is shown with fine, pixelated outlines
06 AI illustration: A brutalist building is shown with fine, pixelated outlinesA brutalist building is shown with fine, pixelated outlines. The edges appear noisy and thin, typical of the discrete 2x2 gradient calculation which captures high-frequency diagonal details without the smoothing found in Canny filters.Illustration generated for the Atlas (AI)
AI illustration: A monochrome portrait displays extremely fine, thin edge detection
07 AI illustration: A monochrome portrait displays extremely fine, thin edge detectionA monochrome portrait displays extremely fine, thin edge detection. The discrete, grainy lines on the face and beard demonstrate the noisy, localized contrast measurement of the 2x2 Roberts operator.Illustration generated for the Atlas (AI)