Skip to content

K-Means Clustering algorithm implementation to extract dominant palette colors in a picture and a new picture is formed, which is built from its predominant shading palettes. A picture contains high intensities of hues, these hues are grouped, and the generated pictures contains only extracted colors

Notifications You must be signed in to change notification settings

nehamehta2110/Dominant-Color-extraction-Kmeans

Repository files navigation

Dominant-Color-extraction-Kmeans

K-Means Clustering algorithm implementation to extract dominant palette colors in a picture and a new picture is formed, which is built from its predominant shading palettes. A picture contains high intensities of hues, these hues are grouped, and the generated pictures contains only predominant colors

Implementation

Image dominant color extraction and representation of new images using pre-dominance colors

About

K-Means Clustering algorithm implementation to extract dominant palette colors in a picture and a new picture is formed, which is built from its predominant shading palettes. A picture contains high intensities of hues, these hues are grouped, and the generated pictures contains only extracted colors

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published