DocumentCode :
167204
Title :
An Image Clustering Technology for Preserving the Consistent Color of Contour
Author :
Sheng Chih Yang ; Shih Yen Huang ; Xi Ru Liu
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
fYear :
2014
fDate :
10-12 June 2014
Firstpage :
107
Lastpage :
110
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.
Keywords :
image colour analysis; image segmentation; pattern clustering; 3D printer; cluster quality; clustering algorithm; color gradient; contour color preservation; image clustering technology; image segmentation; manufacture processing; spatial distance; thread color; Clustering algorithms; Footwear; Histograms; Image color analysis; Image edge detection; Printers; Three-dimensional displays; 3D printer; cluster; color; image; sewed; spatial distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IS3C.2014.39
Filename :
6845471
Link To Document :
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