Real-Time Range Image Segmentation on GPU

被引：0
|
作者：
Hua, Jin Xin [1 ]
Jeong, Mun-Ho [1 ]
机构：
[1] Kwangwoon Univ, Dept Control & Instrumentat Engn, Seoul 139701, South Korea
来源：
2014 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2014) | 2014年
关键词：
range image segmentation; CUDA; LEGION; GPGPU;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper propose 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.
引用
收藏
页码：150 / 153
页数：4
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