计算机应用与软件2013，Vol.30Issue(3)：280-282,293,4.DOI:10.3969/j.issn.1000-386x.2013.03.074
一种利用水平集的图像分割快速GPU并行算法
FAST GPU PARALLEL ALGORITHM FOR IMAGE SEGMENTATION USING LEVEL SET
摘要
Abstract
The fast segmentation of medical and biomedical images is studied in the paper. Aiming at the defects of traditional image segmentation algorithm in low efficiency and inaccurate, we propose a method which uses the automatic evolution of level set to obtain the optimal image segmentation. Firstly, we define the level set function, and analyse different components in the function as well as determine the optimisation algorithm which takes the grey scale of image as the basis. After that, we define the solution procedure of the optimisation algorithm by discretising the differential function, and enable this algorithm to perform parallelised processing. This method can effectively segment the medical images, in particular, it is suitable for parallelised GPU processing. It greatly improves the operation efficiency in premise of guaranteeing the quality of image segmentation.关键词
图像分割/水平集/GPUKey words
Segmentation / Level set/ GPU分类
信息技术与安全科学引用本文复制引用
殷均平,孔素然,张铁墨..一种利用水平集的图像分割快速GPU并行算法[J].计算机应用与软件,2013,30(3):280-282,293,4.
