Abstract
Proposes an image segmentation algorithm based on perceptual color clustering. Introduces the color space transformation formulae from RGB to HLC and the concept of NBS color distance. On this basis, color images are quantized to 256 colors or fewer without significantly degrading the color quality and the similar colors are classified based on NBS color distance. Color patterns are finally merged and the minor color regions are deleted. Experimental results for some color images are given.
| Original language | English |
|---|---|
| Pages (from-to) | 772-775 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 23 |
| Issue number | 6 |
| Publication status | Published - Dec 2003 |
Keywords
- Color clustering
- Image segmentation
- Munsell color space
- NBS distance
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