Color-based segmentation using k-means clustering python

1. Can K means be used for segmentation?
2. Why do we use K means clustering for color quantization?

Can K means be used for segmentation?

K -means clustering algorithm is an unsupervised algorithm and it is used to segment the interest area from the background. But before applying K -means algorithm, first partial stretching enhancement is applied to the image to improve the quality of the image.

Why do we use K means clustering for color quantization?

Performs a pixel-wise Vector Quantization (VQ) of an image of the summer palace (China), reducing the number of colors required to show the image from 96,615 unique colors to 64, while preserving the overall appearance quality.