Abstract—This paper aims to analyze and discuss shadow
removal algorithm based on HSV and RGB color spaces. By
subtracting the current image with the use of background
image we detect the removal targets in the video. This technique
becomes an essential component for the background extraction;
in this paper the approach we adopt consist to use the
traditional Gaussian background modeling method to extract
background. However, due to the impact of light and other
effects, all obtained foreground image containing shaded
regions, and all moving targets detected automatically will be
impacted. To perform the effect related to this issue, we
introduce RGB Color data instruction to detect foreground
shaded region, and then detecting also the real method of
removal targets; this is an effective method.
Index Terms—Gaussian background modeling, RGB color
space shadow detection.
The authors are with School of Physics and Mechanical and Electrical
Engineering, Hubei University of Education, China (e-mail:
home12345@163.com).
[PDF]
Cite: Bailin Lin and Zheng’an Xiao, "Shadow Removal Algorithm Based on RGB Color Space," International Journal of Future Computer and Communication vol. 5, no. 4, pp. 167-171, 2016.
