A novel method using simplified PCNN for near infrared eye detection

Xiaoyan Wu; Yongcai Guo

doi:10.1117/12.2241363

27 September 2016 A novel method using simplified PCNN for near infrared eye detection

Xiaoyan Wu, Yongcai Guo

Proceedings Volume 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment; 96843Q (2016) https://doi.org/10.1117/12.2241363
Event: Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), 2016, Suzhou, China

Abstract

In the near infrared image containing complex background, eye detection is a great challenge for a low signal to noise ratio and lacking of shape and texture information. Aiming at the problem of accurate eye localization and segmentation, simplified pulse coupled neural networks (SPCNN) combined with morphology method is put forward. The contributions of this work can be divided into two parts. The first contribution is that the local region of the eyes is extracted efficiently via morphology opening top-hat operator, as the region of interest for ensuring the follow-up processing without interference of the background. The second contribution is that a SPCNN model is proposed to carefully partition pixels into a corresponding cluster in iterative manner for ensuring high segmentation performance. Experiments are carried out on the near infrared images obtained by the designed acquisition system using the proposed method as well as Otsu and k-means for comparison. Experimental results show that our method achieves desired segmentation performance and has a lower misclassification error.

Citation Download Citation

Xiaoyan Wu and Yongcai Guo "A novel method using simplified PCNN for near infrared eye detection", Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 96843Q (27 September 2016); https://doi.org/10.1117/12.2241363

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Near infrared

Eye

Image segmentation

Eye models

Neurons

Signal to noise ratio

Neural networks

Show All Keywords

Keywords/Phrases

Search In:

Publication Years