New HSL Distance Based Colour Clustering Algorithm
This work addresses color reduction for image processing applications, but it is incremental as it builds on the fuzzy c-means algorithm.
The paper tackled the problem of color reduction by defining a new distance metric for the HSL color system and using it to construct a fuzzy color clustering algorithm, with experimental results demonstrating its effectiveness.
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.