Add to BibSonomyAbstract
An optical imaging signal is vulnerable to undesired features such as ambient light illumination and partial specular reflection from the target; the success of extracting target features from images depends largely on appropriate design of illumination. This paper presents an approach for self-adaptive illumination for optical imaging systems. The proposed illumination system projects a reference image to a target surface as an initial structured illumination, and then adjusts the projected image automatically to compensate the negative influences of undesired features. After this self-adaptive control process, undesired features would appear mostly invisible in the captured images. The signal-to-noise ratio would be improved dramatically well before subsequent image processing. In the validation experiments, several images with uniform brightness were offered as reference images; the captured images could achieve high brightness uniformity, even when the target surface was uneven or was illuminated by ambient light. In a further experiment of selective vessel illumination on a human palm, simulated vessel regions were selectively illuminated. Undesired features, like palm prints, almost disappeared in the images captured.
© 2014 Optical Society of America
Full Article | PDF ArticleMore Like This
Elena Gofas-Salas, Pedro Mecê, Cyril Petit, Jessica Jarosz, Laurent M. Mugnier, Aurélie Montmerle Bonnefois, Kate Grieve, José Sahel, Michel Paques, and Serge Meimon
Appl. Opt. 57(20) 5635-5642 (2018)
Yong Seok Hwang, Friedrich-Karl Bruder, Thomas Fäcke, Seung-Cheol Kim, Günther Walze, Rainer Hagen, and Eun-Soo Kim
Opt. Express 22(8) 9820-9838 (2014)
L. R. Bissonnette
Appl. Opt. 21(22) 3998-4004 (1982)