摘要
为了缩减归一化割算法中权值矩阵的规模,提出了一种融合对数极坐标和归一化割的图像分割算法。首先将均匀采样的图像映射到对数极坐标系下,然后进行归一化割运算,达到减少时间复杂度、提高算法执行效率的目的。实验结果表明该方法能够取得理想的分割效果。
In order to curtail the weight matrix of normalized cut,this paper proposed an image segmentation algorithm based on LPT and normalized cut.First,it mapped the uniform sampling image from Cartesian to log-polar coordinate.Then,it implemented the image segmentation based on the normalized cut method.Consequently,it achieved the purpose of reducing time complexity and improving computational efficiency.Experimental results demonstrate that the proposed method can obtain desired segmentation results.
出处
《计算机应用研究》
CSCD
北大核心
2012年第10期3990-3992,共3页
Application Research of Computers
基金
航空科学基金资助项目(2011553021)
西北工业大学基础研究基金资助项目(JC20110222)
关键词
图像分割
对数极坐标变换
归一化割
image segmentation
log-polar transformation(LPT)
normalized cut