Shadow extraction algorithm based on background subtraction

Author

Wu, Limin ; Huang, Liang ; Yu, Xueqin

Author_Institution

Kunming Manage. Center of Surveying & Mapping, Kunming, China

fYear

2012

fDate

29-31 May 2012

Firstpage

1550

Lastpage

1554

Abstract

A shadow extraction algorithm based on background subtraction is proposed in this paper. First, the original image is preprocessed, then background subtraction is used to separate foreground and background (shadow); Second, shadow edge information is detected by edge detection method based on mathematical morphology and canny algorithm, and it is used as priori knowledge in original image segmentation and shadow extraction; Finally, actual shadow information can be got by fake shadow elimination. The QuickBird remote sensing image of part area of Songming County is experimented in this paper, and the precision of the result reaches 92.4%, so the algorithm proposed in this paper is proved feasible.

Keywords

edge detection; image segmentation; mathematical morphology; QuickBird remote sensing image; background subtraction; canny algorithm; edge detection; fake shadow elimination; image segmentation; mathematical morphology; shadow edge information; shadow extraction; Algorithm design and analysis; Data mining; Image analysis; Image edge detection; Image segmentation; Morphology; Remote sensing; background subtraction; edge detection; image segmentation; mathematical morphology; shadow extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Conference_Location

Sichuan

Print_ISBN

978-1-4673-0025-4

Type

conf

DOI

10.1109/FSKD.2012.6234125

Filename

6234125