An Image Clustering Technology for Preserving the Consistent Color of Contour

Sheng-Chih Yang, Shih-Yen Huang, Xi Liu
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Abstract

While the image was sewed in cloth with thread or was made a physical model by 3D printer, the colors of the thread or the material of the 3D printer was limit, to simplify the manufacture processing. Although the conventional image clustering algorithm can segment the image into seldom clusters and give each cluster a specific color that decrease most colors and preserver the main feature. However the contour will be cluster in many clusters induce by the color gradient of the contour. This paper proposed a clustering algorithm based on involved spatial distance to assign the contour a consistent color. The experimental shown that the proposed algorithm had cluster quality more than 90%, the maximum improvement was 57% that compared with the conventional clustering algorithm.
一种保持轮廓一致颜色的图像聚类技术
而将图像用线缝在布上或通过3D打印机制作物理模型时,为了简化制造过程,限制了线的颜色或3D打印机的材料。虽然传统的图像聚类算法可以将图像分割成很少的聚类,并赋予每个聚类一个特定的颜色,以减少大部分颜色并保留主要特征。然而,轮廓的颜色梯度会将轮廓聚在许多簇中。本文提出了一种基于涉及空间距离的聚类算法来为轮廓分配一致的颜色。实验表明,该算法的聚类质量在90%以上,与传统聚类算法相比,最大提高了57%。
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