Mr. Shaojun Zeng Profile

Shaojun Zeng

at Xiamen Univ

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 5 November 2018 Paper

A flame recognition algorithm based on LVQ neural network

Shaojun Zeng, Yanping Chen, Mengting Xu, Zilu Chen, Hao Yin

Proceedings Volume 10816, 108161K (2018) https://doi.org/10.1117/12.2501137

KEYWORDS: Neural networks, Detection and tracking algorithms, Flame detectors, Evolutionary algorithms

Read Abstract +

Fire has caused great losses to human beings. However, there are many problems in traditional fire detection methods.Considering the instability and high rate of erroneous recognition with these methods ,a flame recognition algorithm based on LVQ neural network is proposed in this paper. The basic characteristics and some information of the flame are analyzed.Moreover,the LVQ neural network technology is used to achieve fire detection.First, the suspicious targets of the image are extracted by flame color features.After the image morphological processing,the circular value is calculated and the interference regions with larger circular degree values is eliminated.Then,the dynamic features of the flame are extracted from the continuous frame. The area of fire will increase gradually and the image shows a continuous increase in high brightness area. The sharp corners of the flame are characterized by elongate and its number changes irregularly.Finally,the structure of the LVQ neural network, the designed of the input and output layers have been concluded. On this basis, a flame recognition algorithm based on LVQ neural network has been designed and a series of fire image experiments have been conducted.The experiment shows that the recognition accuracy of the algorithm reaches 96%.

Proceedings Article | 5 November 2018 Paper

Simulation of eye's wavefront aberration measurement based on annular radial shearing interferometry

Meng-ting Xu, Yan-ping Chen, Shao-jun Zeng

Proceedings Volume 10815, 108151A (2018) https://doi.org/10.1117/12.2501047

KEYWORDS: Wavefronts, Eye, Eye models, Wavefront aberrations, Interferometry, Zemax, Zernike polynomials

Read Abstract +

A new method is proposed to measure the wavefront aberration of human eyes based on annular radial shearing interference technology in this paper. The feasibility and accuracy of the scheme are verified by implementing simulations of four typical model eyes on ZEMAX. The proposed scheme consists of an illumination light path and an annular radial shearing interference system. The light path focuses the laser with a diameter of about 1 millimeter on the macula of the simulated human eye to form a point. Afterwards, the reflected light passes through the simulated eye refraction system to be incident in the annular radial shearing interference system in the form of wavefront aberration. Then the interference system contracts and expands the beam that carries wavefront aberration of the simulated eye to generate interference within their common area to obtain annular radial shearing interference patterns. Zernike polynomials are used as the basis functions to calculate the Zernike coefficients of the phase difference wavefront after image processing. Accordingly, the trial wavefront is reconstructed by iterative method, and is compared with that of corresponding model eye constructed by ZEMAX to calculate the error and validate the exactness eventually.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years