The topic of this research aims at minimizing carpet image color number
(acquired by a scanner) from 16 million colors to 5 colors, in order to restore
the shapes of the original image automatically without distortions.
For this purpose an algorit
hm was developed for the application called CDS
(Carpet Design System)- which is an application developed locally for use in
sewing carpets in General Institution of Texture Factory in Syria-, but the
results are still not acceptable, because the resulting images have a lot of
distortions, and they need some processing using an image processing
application (ex. Photoshop). This task needs more than tow weeks.
In this research work, we study the CDS algorithm, and other color
quantification algorithms, developed in research laboratories specialized in
image processing. We apply this algorithms on carpet images, after doing the
necessary modifications for tuning and adapting to our special problem. Finally
we compare the results, and suggest the best solution for the problem.
