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Proceedings Paper

Morphological color image processing based on improved distance and lexicographical ordering
Author(s): Hongzhong Tang; Huixian Huang; Yewei Xiao; Xuefeng Guo
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Paper Abstract

The paper presents a novel definition method of color morphological operators. It is followed the combination of weighted distance ordering based on the reference color and improved lexicographical ordering. L*a*b* color model is integrated with its polar coordinates representation, weighted impact factors are employed, vector ordering is initially realized by mapped to scalar function. The lack of equidistant is solved with the lexicographical ordering, the improved lexicographical ordering is introduced based on rough set. It is possible to reduce the first component with attributions and contributions of the preceding components in ordering. By comparative application to color image processing, experimental results demonstrate favorable consistency in terms of human perception and better image color balance, details and performance of image show more richer and smoother.

Paper Details

Date Published: 19 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782018 (19 August 2010); doi: 10.1117/12.866472
Show Author Affiliations
Hongzhong Tang, Xiangtan Univ. (China)
Huixian Huang, Xiangtan Univ. (China)
Yewei Xiao, Xiangtan Univ. (China)
Xuefeng Guo, Xiangtan Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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