Find dominant colors in an image:

Compute up to 5 dominant colors:

Compute different properties for each dominant color:

Compute the dominant colors of a list of images:

By default, dominant colors are returned as RGB colors:

Dominant colors represented in CIELAB space:

Return the dominant colors in their hexadecimal representation:

Find the closest HTML color name to each dominant color:

Compute the number of pixels covered by each dominant color:

Return coverage fraction and coverage mask:

Specify a different output format:

Return an association of property values:

By default, an automatic threshold is used for ColorCoverage:

Return all colors regardless of their coverage:

If no color covers the minimum coverage specified, an empty list is returned:

Specify a range for color coverage:

By default, the "CIE76" color distance is used to merge color clusters:

Use a different color distance:

Specify a custom distance function between CIELAB colors:

By default, dominant colors in the whole image are returned:

This is equivalent to the setting Masking->All:

Compute the dominant colors of the image foreground:

With Masking->All, "Coverage" and "MaskCoverage" are the same:

With a given mask, "MaskCoverage" returns the fraction of mask covered by each cluster:

By default, DominantColors automatically picks the most suitable method to generate color clusters:

Use the Method option to choose a specific method:

Compare the timing and result of different methods:

By default, the minimum color distance is automatically chosen:

With MinColorDistance->d, clusters with color representatives closer than d are merged:

Use MinColorDistance->0 to avoid any color merging:

Avoid color merging by computing all dominant colors using MinColorDistance->0:

Delete similar colors using a custom function: