Title of article :
Color Reduction in Hand-drawn Persian Carpet Cartoons before Discretization using image segmentation and finding edgy regions
Author/Authors :
Fateh ، M. - Shahrood University of Technology , Kabir ، E. - Tarbiat Modarres University
Pages :
12
From page :
47
To page :
58
Abstract :
In this paper, we present a method for color reduction in Persian carpet cartoons which increases both the speed and accuracy of editing. Carpet cartoons are in two categories: machine-printed and hand-drawn. Hand-drawn cartoons are divided into two groups: before and after discretization. The purpose of this work is color reduction in hand-drawn cartoons before discretization. The proposed algorithm consists of the following steps: image segmentation, finding the color of each region, color reduction around the edges and final color reduction with C-means. The proposed method requires knowing the desired number of colors in any cartoon. In this method, the number of colors is not reduced to more than about 1.3 times of the desired number. Automatic color reduction is done in such a way that the final manual editing done to reach the desired colors is very easy.
Keywords :
Color Reduction , Hand , drawn Cartoons , Segmentation , C , means , Persian Carpet.
Journal title :
Journal of Artificial Intelligence Data Mining
Serial Year :
2018
Journal title :
Journal of Artificial Intelligence Data Mining
Record number :
2449325
Link To Document :
بازگشت