M 008 / 18301 Edge & Featuresalgorithm output

Laplacian Edges

Laplacian Edge. edge & feature detection

Typeface · Overpass Mono

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 Laplacian Edges, creating a signed grayscale relief of local brightness changes around a neutral gray base. Outline boundaries with adjacent light and dark bands, emphasizing fine texture, sharp transitions, and slight noise. Remove original color and broad photographic shading. Keep the original subject and composition.

Identify

Light-dark double edges1 and local contrast changes.

Principle

The second spatial derivative2 responds to changes in the gradient.

Try it out

Compare hard edges and finer textures.

Classification

Calculated image processing result.

Further examples · 7 images

WristSpatialFiltering
02 WristSpatialFilteringA comparison showing spatial filtering kernels and their results on a hand X-ray. Panel f demonstrates the zero-crossing edge detection characteristic of the Laplacian operator on anatomical structures.Kieranmaher · Public domain · Wikimedia Commons
Usm-unsharp-mask
03 Usm-unsharp-maskA spiral pattern demonstrating unsharp masking. The bottom half exhibits the light and dark halos at intensity transitions, which result from adding a Laplacian-filtered version of the image back to the original.Nevit Dilmen · Public domain · Wikimedia Commons
Laplacetf
04 LaplacetfMathematical surface plots of discrete Laplacian kernels. They represent the transfer functions used in spatial filtering to calculate second-order derivatives for edge detection in digital images.Jkrieger 13:07, 21. Sep 2006 (CEST) · Copyrighted free use · Wikimedia Commons
AI illustration: A clock mechanism is shown with light-dark double outlines on all metalli
05 AI illustration: A clock mechanism is shown with light-dark double outlines on all metalliA clock mechanism is shown with light-dark double outlines on all metallic edges. The contrast changes highlight both the large gears and the fine surface textures of the components.Illustration generated for the Atlas (AI)
AI illustration: A stone statue displays white halos along its contours against a dark bac
06 AI illustration: A stone statue displays white halos along its contours against a dark bacA stone statue displays white halos along its contours against a dark background. The processing result detects high-frequency details in the hair and the cracks across the marble surface.Illustration generated for the Atlas (AI)
AI illustration: A canyon landscape undergoes edge detection
07 AI illustration: A canyon landscape undergoes edge detectionA canyon landscape undergoes edge detection. The right side shows light-dark double halos on hard cliff edges and fine noise in textured areas, representing the Laplacian's response to gradient changes.Illustration generated for the Atlas (AI)