NDLI: Real-time range image segmentation on GPU

Content Provider	IEEE Xplore Digital Library
Author	Jin Xin Hua Mun-Ho Jeong
Copyright Year	2014
Description	Author affiliation: Dept. of Control & Instrum. Eng., Kwangwoon Univ., Seoul, South Korea (Jin Xin Hua; Mun-Ho Jeong)
Abstract	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.
Starting Page	150
Ending Page	153
File Size	1127982
Page Count	4
File Format	PDF
ISSN	20937121
e-ISBN	9788993215076
DOI	10.1109/ICCAS.2014.6987976
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Control, Robotics and Systems (ICROS)
Subject Keyword	Integrated circuits CUDA Image segmentation Image edge detection LEGION Graphics processing units HTML Indexes range image segmentation Oscillators GPGPU
Content Type	Text
Resource Type	Article

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