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Proceedings Paper

Application of particle swarm optimization for improving the identification of image objects
Author(s): Nan-Hsing Chiu; Chang-En Pu; Pei-Da Lin; Shu-Shian Wang
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Paper Abstract

Flight safety is very important issue for aviation industries. Analyzing the flight accidents on the basis of 2-dimensional image is hardly to illustrate the complex injuries of passengers in the flight cabin. However, how to illustrate the flight accident is a challenge from 2-dimensional space to 3-dimensional space. This study proposes a particle swarm optimization approach for improving the identification of objects from 2-dimensional image. The recognition results provide the information for building 3-dimensional systems for flight accident investigators. The experiments also show that it is a feasible approach for improving the identification of image objects.

Paper Details

Date Published: 2 June 2012
PDF: 6 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341E (2 June 2012); doi: 10.1117/12.946596
Show Author Affiliations
Nan-Hsing Chiu, Ching Yun Univ. (Taiwan)
Chang-En Pu, Ministry of Justice (Taiwan)
Pei-Da Lin, Aviation Safety Council (Taiwan)
Shu-Shian Wang, Ching Yun Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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