Paper
15 November 2007 Infrared image segmentation with 2D OTSU method based on particle swarm optimization
Guangzhou Zhao, Tianxu Zhang, Huazhong Xu
Author Affiliations +
Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 678717 (2007) https://doi.org/10.1117/12.749274
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangzhou Zhao, Tianxu Zhang, and Huazhong Xu "Infrared image segmentation with 2D OTSU method based on particle swarm optimization", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678717 (15 November 2007); https://doi.org/10.1117/12.749274
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Cited by 8 scholarly publications.
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KEYWORDS
Image segmentation

Particle swarm optimization

Infrared imaging

Infrared radiation

Particles

Image processing algorithms and systems

Evolutionary algorithms

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