Research on Pupil Segmentation and Localization in Micro Operation

DOI

10.2991/icmmita-15.2015.206How to use a DOI?

Keywords

Micro Operation; Pupil Localization; Hough Transform

Abstract

In this paper, a fast pupil segmentation and localization algorithm is proposed owing to the characteristics that the operator’s eyeball deflects slightly and the gray level of eye image changes a little. Firstly, in order to segment high quality pupil region, we segment the specific interest region, use down sampling method to reduce the calculated pixels, apply the 8-connected components to the binary image denoising and use line scanning method to amend the light spot. Then, the canny operator is applied to detect the edge of pupil region. Finally, we take Hough transform to locate pupil center. The experimental results show that the new algorithm can segment high quality pupil region, locate the pupil center and is applicable to pupil image captured by head-mounted device.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - BinLiang Hu
AU  - GuoLiang Chen
AU  - Hui Ma
PY  - 2015/11
DA  - 2015/11
TI  - Research on Pupil Segmentation and Localization in Micro Operation
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1121
EP  - 1126
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.206
DO  - 10.2991/icmmita-15.2015.206
ID  - Hu2015/11
ER  -