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Proceedings Paper

Infrared image segmentation with 2D OTSU method based on particle swarm optimization
Author(s): Guangzhou Zhao; Tianxu Zhang; Huazhong Xu
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Paper Abstract

This paper proposes a global threshold selection method to do infrared image segmentation, which uses both gray-level distribution and spatial information, namely, two-dimensional OTSU method (2D OTSU). It often gets better anti-noise performance. What's more, taking consideration of the complexity of its computation, we introduce a new heuristic optimization algorithm, called the particle swarm optimization (PSO) algorithm to search the result. So an algorithm for PSO-based 2D Otsu segmentation is proposed. The experiments of segmentation the infrared images are illustrated to show that the proposed method can get ideal segmentation result with less computation cost.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678717 (15 November 2007); doi: 10.1117/12.749274
Show Author Affiliations
Guangzhou Zhao, Huazhong Univ. of Science and Technology (China)
Wuhan Univ. of Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Huazhong Xu, Wuhan Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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