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The distance transform labels every foreground pixel with its distance to the nearest background pixel — the backbone of watershed segmentation, skeletonization, and shape analysis. Upload any image, binarize it with Otsu or a manual threshold, and explore the L2 distance field as a colormapped heatmap, an overlay, or a raw grayscale field.
All processing runs locally in your browser. Your files never leave your device — no upload, no server, no signup required.
It powers watershed marker generation, skeletonization, robot path planning, morphological operations, and shape thickness measurements — anywhere you need how far am I from the boundary per pixel.
Each colormap band is an iso-distance contour: pixels in the same band sit at the same distance from the nearest edge. Centers of blobs glow brightest because they are farthest from any boundary.
Euclidean (L2) distance with a 3x3 mask via OpenCV distanceTransform, normalized to 0-255 for display.
No. The transform runs in WebAssembly entirely in your browser.