HSICT: A method for romoving highlight and shading in color image

Author

Wang, Zhi-Heng ; Liu, Hong-Min ; Xue, Xiao

Author_Institution

Dept. of Comput. Sci., Henan Polytech. Univ., Jiaozuo, China

fYear

2009

fDate

12-15 July 2009

Firstpage

51

Lastpage

56

Abstract

In this paper, the problem of removing highlight and shading in color image is addressed, and a novel method called highlight and shading invariant color transform (HSICT) is proposed for this purpose. HSICT can be accomplished in a process of three steps: (1) Illumination color estimation is achieved by using two different color distributions; (2) A linear transform is applied to eliminate the influence of highlight; (3) The effect of shading is removed by normalization. Experiments illustrate that HSICT can not only effectively remove highlight and shading in color image, but also can be easily combined with other algorithms in many fields, such as segmentation and edge detection.

Keywords

image colour analysis; matrix algebra; transforms; Illumination color estimation; color image highlight removal; color image shading removal; edge detection; highlight and shading invariant color transform; image segmentation; linear transform; Acoustic reflection; Colored noise; Image color analysis; Image segmentation; Lighting; Pattern analysis; Pattern recognition; Polarization; Wavelet analysis; Wavelet transforms; Dichromatic reflection model; Highlight; Highlight and shading invariant color transform (HSICT); Shading;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3728-3

Electronic_ISBN

978-1-4244-3729-0

Type

conf

DOI

10.1109/ICWAPR.2009.5207478

Filename

5207478