DocumentCode
1766104
Title
Specularity detection method based on MSER
Author
Zhu, Hengliang ; Gao, Cheng ; Guo, Youguang ; Shao, Yu
Author_Institution
Key Lab. of Optoelectron. Technol. & Syst. of the Educ. Minist. of China, Chongqing Univ., Chongqing, China
Volume
49
Issue
18
fYear
2013
fDate
August 29 2013
Firstpage
1138
Lastpage
1140
Abstract
A new algorithm for specularity detection using a single image, which is based on the maximally stable extremal regions (MSER) detector, is presented. This algorithm takes full advantage of the characteristics of specularity and requires no assumptions. For this reason, it separates specularities very well regardless of the illumination condition and the surface material. To illustrate the effectiveness of the prposed algorithm, experiments are performed using the images of both dielectric and metal surfaces. Experimental results show that the presented approach outperforms the traditional methods from the point of view of sensitivity to correctness.
Keywords
image processing; lighting; object detection; MSER-based specularity detection method; dielectric surfaces; illumination condition; maximally stable extremal regions detector; metal surfaces; single image; specularity characteristics; surface material;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2013.2306
Filename
6587643
Link To Document