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Tricolor Attenuation Model for Shadow Detection
Tian JD(田建东); Sun J(孙静); Tang YD(唐延东)
Source PublicationIEEE Transactions on Image Processing
Indexed BySCI ; EI
EI Accession number20094012359221
WOS IDWOS:000269715500017
Contribution Rank1
KeywordOutdoor Scenes Shadow Detection Single Image Tricolor Attenuation Model (Tam)
AbstractShadows, the common phenomena in most outdoor scenes, bring many problems in image processing and computer vision. In this paper, we present a novel method focusing on extracting shadows from a single outdoor image. The proposed tricolor attenuation model (TAM) that describe the attenuation relationship between shadow and its nonshadow background is derived based on image formation theory. The parameters of the TAM are fixed by using the spectral power distribution (SPD) of daylight and skylight, which are estimated according to Planck's blackbody irradiance law. Based on the TAM, a multistep shadow detection algorithm is proposed to extract shadows. Compared with previous methods, the algorithm can be applied to process single images gotten in real complex scenes without prior knowledge. The experimental results validate the performance of the model.
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS Research AreaComputer Science ; Engineering
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Cited Times:59[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Tian JD,Sun J,Tang YD. Tricolor Attenuation Model for Shadow Detection[J]. IEEE Transactions on Image Processing,2009,18(10):2355-2363.
APA Tian JD,Sun J,&Tang YD.(2009).Tricolor Attenuation Model for Shadow Detection.IEEE Transactions on Image Processing,18(10),2355-2363.
MLA Tian JD,et al."Tricolor Attenuation Model for Shadow Detection".IEEE Transactions on Image Processing 18.10(2009):2355-2363.
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