0
votes

I am using MATLAB 2015. I want to reduce the image color count. An RGB image will be segmentated using k-means algorithm. Then mean colors will be replaced with the colors I have.

The colors are (10),

black - [255, 255, 255],

yellow - [255, 255, 0],

orange - [255, 128, 0],

white - [255, 255, 255],

pink - [255, 153, 255],

lavender - [120, 102, 255],

brown - [153, 51, 0],

green - [0, 255, 0],

blue - [0, 0, 255],

red - [255, 0, 0].

I have succeeded clustering the image. Clustered images should be replaced with the nearest color. How can I change those colors after clustering?

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1 Answers

0
votes

In case you don't succeed in finding a way with MATLAB, you can remap the colours in an image at the command line with ImageMagick which is installed on most Linux distros and is available for OSX and Windows too.

First, you would make a swatch of the colours in your palette. You only need do this once obviously:

convert xc:black           xc:yellow             xc:"rgb(255,128,0)"   \
        xc:white           xc:"rgb(255,153,255)" xc:"rgb(120,102,255)" \
        xc:"rgb(153,51,0)" xc:lime xc:blue       xc:red                \
        +append colormap.png

That looks like this (enlarged):

enter image description here

Now, let's assume you have an image like this colorwheel (colorwheel.png):

enter image description here

and you want to apply your palette (i.e. remap the colours to those in your swatch):

convert colorwheel.png +dither -remap colormap.png result.png

enter image description here