New HSL Distance Based Colour Clustering Algorithm

TL;DR

This paper introduces a new HSL color distance measure and uses it to develop a fuzzy color clustering algorithm, demonstrating its effectiveness in color reduction tasks through experimental results.

Contribution

The paper proposes a novel HSL distance metric and integrates it into a fuzzy clustering algorithm for improved color reduction.

Findings

Effective color reduction demonstrated

New HSL distance improves clustering quality

Experimental results validate approach

Abstract

In this paper, we define a distance for the HSL colour system. Next, the proposed distance is used for a fuzzy colour clustering algorithm construction. The presented algorithm is related to the well-known fuzzy c-means algorithm. Finally, the clustering algorithm is used as colour reduction method. The obtained experimental results are presented to demonstrate the effectiveness of our approach.