major-colors

Color segmentation using kmeans+++ for clustering and CIEDE2000 algorithm for color distance.
Attempt to generate the optimal color palette given an image

Client-only!

This implementation relies on the canvas api to process the image

$3

``
npm i major-colors
yarn add major-colors
`

$3

`javascript
import MajorColors from 'major-colors'

const majorColors = new MajorColors(imageDomNode);
const { clusterResult, colors } =
majorColors.getMajorColors({ numberOfColors: 5, quality: .10});
`


$3


#### colors [[number]]
an array of arrays which represent the colors in RGB vector
#### clusterResult - raw cluster ouput from k-means-plus
`flow js
type result = {
model: {
observations: [[number]], // the original vectors: colors in Lab space
centroids: [[number]], // vectors of final cluster centers: colors in Lab space
assignments: [number] // mapping from index of original vector to the index of cluter center it belongs to
},
iterations: number, // number of iterations ran before converging
durationMs: number // the duration of the algorithm
}
``