DocumentCode :
3458242
Title :
Color Edge Detection Based on YUV Space and Minimal Spanning Tree
Author :
Ji, Runsheng ; Kong, Bin ; Zheng, Fei ; Gao, Jun
Author_Institution :
Center for Biomimetic Sensing & Control Res., Chinese Acad. of Sci., Hefei
fYear :
2006
fDate :
20-23 Aug. 2006
Firstpage :
941
Lastpage :
945
Abstract :
A novel color edge detection approach based on YUV space and minimal spanning tree is proposed, which treats the pixels of color images as vectors in YUV space, and uses the idea of minimal spanning tree in graph theory to process them. The experiments carried out show that the strengths of detected edges are clear and precise, reflecting the intensity of actual edges. The final edge results are obtained by automatic fast entropy thresholding algorithm.
Keywords :
edge detection; entropy; image colour analysis; trees (mathematics); YUV space; automatic fast entropy thresholding; color edge detection; graph theory; minimal spanning tree; Biomimetics; Color; Computer displays; Entropy; Graph theory; Hardware; Image edge detection; Space technology; Tree graphs; Video compression; YUV space; color image; edge detection; minimal spanning tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2006 IEEE International Conference on
Conference_Location :
Shandong
Print_ISBN :
1-4244-0528-9
Electronic_ISBN :
1-4244-0529-7
Type :
conf
DOI :
10.1109/ICIA.2006.305862
Filename :
4097795
Link To Document :
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