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Erschienen in:
2014 | OriginalPaper | Buchkapitel
GPU-Based Real-Time Range Image Segmentation
verfasst von : Xinhua Jin, Dong Joong Kang, Mun-Ho Jeong
Erschienen in: Intelligent Computing Methodologies
Verlag: Springer International Publishing
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In this paper proposed a GPU-based parallel processing method for real-time image segmentation with neural oscillator network. Range image segmentation methods can be divided into two categories: edge-based and region-based. Edge-base method is sensitive to noise and region-based method is hard to extracting the boundary detail between the object. However, by using LEGION (Locally Excitatory Globally Inhibitory oscillator networks) to do range image segmentation can overcome above disadvantages. The reason why LEGION is suitable for parallel processing that each oscillator calculate with its 8-neiborhood oscillators in real time when we process image segmentation by LEGION. Thus, using GPU-based parallel processing with LEGION can improve the speed to realize real-time image segmentation.