DocumentCode :
56810
Title :
Single-image shadow detection and removal using local colour constancy computation
Author :
Xingsheng Yuan ; Ebner, Marc ; Zhengzhi Wang
Author_Institution :
Coll. of Electron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Volume :
9
Issue :
2
fYear :
2015
fDate :
2 2015
Firstpage :
118
Lastpage :
126
Abstract :
This study is concerned with the problem of shadow detection and removal from single images of natural scenes. In this work, the authors propose a shadow detection method with a surface descriptor, termed colour-shade, which allows them to include the physical considerations derived from the image formation model capturing gradual colour surface variations. The authors incorporate a colour-shade descriptor into the condition random field model to find same illumination pairs and to obtain coherent shadow regions. The authors propose a shadow removal method using an improved local colour constancy computation, which uses anisotropic diffusion to estimate the illuminant locally for each image pixel in shadow. The authors evaluate their method on two shadow detection databases. The experimental results demonstrate that their shadow detection and removal method is state of the art.
Keywords :
image colour analysis; visual databases; colour shade descriptor; condition random field model; gradual colour surface variations; image formation model; image pixel; local colour constancy computation; natural scenes; physical considerations; shadow detection databases; shadow regions; single image shadow detection; single image shadow removal; surface descriptor; termed colour-shade;
fLanguage :
English
Journal_Title :
Image Processing, IET
Publisher :
iet
ISSN :
1751-9659
Type :
jour
DOI :
10.1049/iet-ipr.2014.0242
Filename :
7034961
Link To Document :
بازگشت