Morphological color image processing based on improved distance and lexicographical ordering

Hongzhong Tang; Huixian Huang; Yewei Xiao; Xuefeng Guo

doi:10.1117/12.866472

19 August 2010 Morphological color image processing based on improved distance and lexicographical ordering

Hongzhong Tang, Huixian Huang, Yewei Xiao, Xuefeng Guo

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782018 (2010) https://doi.org/10.1117/12.866472
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

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Hongzhong Tang, Huixian Huang, Yewei Xiao, and Xuefeng Guo "Morphological color image processing based on improved distance and lexicographical ordering", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782018 (19 August 2010); https://doi.org/10.1117/12.866472

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KEYWORDS

Image processing

RGB color model

Color image processing

Chemical elements

CMYK color model

Image enhancement

Mathematical morphology

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