Paper Info
Title
Shadow Detection in Color Aerial Images Based on HSI Space and Color Attenuation Relationship.
Abstract
Many problems in image processing and computer vision arise from shadows in a single color aerial image. This article presents a new algorithm by which shadows are extracted from a single color aerial image. Apart from using the ratio value of the hue over the intensity in some state-of-the-art algorithms, this article introduces another ratio map, which is obtained by applying the saturation over the intensity. Candidate shadow and nonshadow regions are separated by applying Otus's thresholding method. The color attenuation relationship that describes the relationship between the attenuation of each color channel is derived from the Planck's blackbody irradiance law. For each region, the color attenuation relationship and other determination conditions are performed iteratively to segment it into smaller sub-regions and to identify whether each sub-region is a true shadow region. Compared with previous methods, the proposed algorithm presents better shadow detection accuracy in the images that contain some dark green lawn, river, or low brightness shadow regions. The experimental results demonstrate the advantage of the proposed algorithm. © 2012 Shi and Li; licensee Springer.
Year
DOI
Venue
2012
10.1186/1687-6180-2012-141
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
color aerial image,color attenuation relationship,hsi space,shadow detection
Computer vision,Color histogram,Computer science,Hue,Aerial image,Color depth,Color balance,RGB color model,Artificial intelligence,False color,Color image
Journal
Volume
Issue
ISSN
2012
1
16876180
Citations 
PageRank 
References 
9
0.44
18
Authors
2
Name
Order
Citations
PageRank
Wen-Xuan Shi1124.20
Jie Li290.78