/gokmeans

Go K-Means Image Color Separation Dominant Color Finder written in Go

Primary LanguageHTMLMIT LicenseMIT

Go K-Means Image Color Separation/Dominant Color Finder written in Go

This is a command-line program written in Go which performs color quantization on images and identifies the dominant colors in them.

Features

  • Color quantization using K-means clustering
  • Identification of dominant colors in images
  • Output is provided in JSON and HTML formats
  • Supports JPEG and PNG image formats
  • Using Go standard library only

Usage

To use the program, you need to provide the input file or directory as a command-line argument. You can also specify the number of prominent colors to find and the color value format (hex or rgb) using flags:

go run main.go <input_file_or_directory>

# Or run as binary after 'go build'

gokmeans <input_file_or_directory>

# Use -n to set number of dominant colors to find (based on higher percentage)
go run main.go -n 10 <input_file_or_directory>

Sample Images

Sample HTML output: https://bradsec.github.io/gokmeans/

multicolor.png

Original image

Quantized image

gopherblue.png

Original image

Quantized image