DocumentCode
1798753
Title
Shadow removal of single texture region using local histogram matching
Author
Pan Xiao ; Yong Zhao ; Yule Yuan
Author_Institution
Shenzhen Grad. Sch., Key Lab. of Integrated Microsyst., Peking Univ., Shenzhen, China
fYear
2014
fDate
7-9 July 2014
Firstpage
662
Lastpage
665
Abstract
Shadows have long been a problem to computer vision algorithms. Removing shadow can significantly improve the performance of several vision task such as object detection and image segmentation. Various methods of shadow removal in images had been developed. In this paper, we discussed the characteristic of shadowed region with single texture statistically, based on an illumination model, and then developed a simple and fast way of removal shadow using local histogram matching in different illumination reduction level.
Keywords
computer vision; image matching; image segmentation; image texture; object detection; computer vision algorithms; illumination reduction level; image segmentation; local histogram matching; object detection; shadow removal; single texture region; statistically analysis; Computer vision; Educational institutions; Gaussian distribution; Histograms; Image segmentation; Lighting; Reflectivity; histogram matching; ilumination model; shadow removal;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-3902-2
Type
conf
DOI
10.1109/ICALIP.2014.7009877
Filename
7009877
Link To Document