%0 Journal Article
%T Speedup segmentation of industrial DR image by CUDA
CUDA加速工业DR图像分割*
%A NI Feng-yue
%A ZENG Li
%A LIU Ling-hui
%A
倪风岳
%A 曾理
%A 刘玲慧
%J 计算机应用研究
%D 2011
%I
%X The segmentation of industrial DR image is very important to industrial image processing. C-V method has some advantage to industrial DR image segmentation. Due to its higher computing complexity, C-V method is rarely applied in a time-critical industrial environment. In this paper we present an efficient parallel implementation of DR image segmentation by C-V method with CUDA (computer united device architecture) and a method that separated data computing merged in corresponding thread by shared memory is used in this paper. Finally, we compare our results to the current applications on image processing workstation,our implementation exhibits a speed-up of 32 to 44 times compared to a state-of-the-art CPU.
%K Parallel Computing
%K CUDA
%K Image Segmentation
%K C-V model
%K DR image
并行计算
%K 计算机统一设备架构
%K 图像分割
%K C-V模型
%K 数字辐射图像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=E28FD3D51F97BF0021ADADA52B10CA9D&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=0E6C9B38667ABC5C&eid=3263523096AC9895&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11