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Paper
Title

A Novel Approach for Pupil Diameter MeasurementBased on Soft Computing Techniques

Year: 1390
COI: ICMVIP07_056
Language: EnglishView: 1,252
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Authors

F. Mokhayeri - Islamic Azad University, Mashhad BranchMashhad, Iran
S. Toosizadeh - Islamic Azad University, Mashhad BranchMashhad, Iran
M-R. Akbarzadeh-T - Ferdowsi University of MashhadMashhad, Iran

Abstract:

In this paper, a hybrid approach for the pupildiameter (PD) measurement from the eye video is described. Theproposed algorithm is composed of five main stages; dataacquisition, pre-processing, edge detection, edge linking, anddiameter computation. In this approach, noise reduction isperformed using the type-1 fuzzy system, eye region is detectedusing the genetic algorithm (GA), and an effective procedure foredge detection based on a hybrid combination of interval type-2fuzzy logic system (IT2FS) and particle swarm optimization(PSO) is presented that PSO is used for parameters optimizationof IT2FS membership function. In order to evaluate theperformance of proposed algorithm, a pupil videos dataset isconstructed. The Proposed algorithm is tested on this dataset.The experimental results show that the combination of IT2FSand PSO can be considered as a good alternative for the edgedetection, and proposed approach can be considered as a generalmethod of pupil diameter measurement.

Keywords:

pupil diameter , interval type-2 fuzzy logic system , particle swarm optimization , genetic algorithm

Paper COI Code

This Paper COI Code is ICMVIP07_056. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/159090/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Mokhayeri, F. and Toosizadeh, S. and Akbarzadeh-T, M-R.,1390,A Novel Approach for Pupil Diameter MeasurementBased on Soft Computing Techniques,7th Iranian Conference on Machine Vision and Image Processing (MVIP2011),Tehran,https://civilica.com/doc/159090

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    Type of center: Azad University
    Paper count: 9,635
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