24 August 2006 A fast level set implementation method for image segmentation and object tracking
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Abstract
The high computational complexity of level set methods has excluded themselves from many real-time applications. The high algorithm complexity is mainly due to the need of solving partial differential equations (PDEs) numerically. For image segmentation and object tracking applications, it is possible to approximate level set curve evolution process without solving PDEs since we are interested in the final object boundary instead of the accurate curve evolution process. This paper proposes a fast parallel method to simplify curve evolution process using simple binary morphological operations. The proposed fast implementation allows real-time image segmentation and object tracking using level set curve evolution, while preserves the advantage of level set methods for automatically handling topological changes. It can utilize the parallel processing capability of existing embedded hardware, parallel computers or optical processors for fast curve evolution.
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Shuqun Zhang, Shuqun Zhang, } "A fast level set implementation method for image segmentation and object tracking", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121R (24 August 2006); doi: 10.1117/12.682228; https://doi.org/10.1117/12.682228
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