Watershed Lab

WatershedLab

v1.0

Input Image

🖼️

Drop an image here or
click to browse

Pre-Processing

Blur Radius (σ) 1.5

Gaussian blur before gradient computation. Higher values smooth noise, producing fewer, larger regions.

Marker Detection

Sensitivity 50%

Controls how many seed markers are found. Higher = more segments detected.

Min Marker Distance 20 px

Minimum pixel distance between markers. Prevents over-segmentation in uniform regions.

Rendering

Display Mode

Colored Regions

Boundaries on Original

Color Overlay

Overlay Opacity 50%

Boundary Color

White

Black

Red

None

Show seed markers

Fill with region mean color

Mean color (RGB)

Mean tone (grayscale)

Fills each segment with its actual average pixel color or luminance, replacing the generated palette.

Results

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Segments

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Process time

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Width (px)

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Height (px)

🌊

Upload an image to begin

The watershed algorithm will segment your image
into distinct regions based on gradient topology.

Original

Watershed Result

Color Palette click a swatch to copy hex

Processing…