期刊文献+

一种融合对数极坐标映射和归一化割的图像分割算法 被引量:2

Image segmentation approach by combining log-polar transformation and normalized cut
下载PDF
导出
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
  • 相关文献

参考文献10

二级参考文献41

  • 1朱欣欣,张大志,田金文,张钧.一种与图论Normalized Cut方法相结合的双阈值图像分割[J].红外与激光工程,2006,35(z4):48-53. 被引量:2
  • 2崔明,孙守迁,潘云鹤.基于改进快速分水岭变换的图像区域融合[J].计算机辅助设计与图形学学报,2005,17(3):546-552. 被引量:13
  • 3杨卫莉,郭雷.基于分水岭算法和图论的图像分割[J].计算机工程与应用,2007,43(7):28-30. 被引量:15
  • 4Wu Z Y,Leahy R.An optimal graph theoretic approach to data clustering:Theory and it's application to image segmentation[J].IEEE Transactions on Pattern Analysis Machine Intelligence,1993,15(11):1101-1113.
  • 5Shi J,Malik J.Normalized cuts and image segmentation[C] //Proc IEEE CS Conf Computer Vision and Pattern Recognition,1997:731-737.
  • 6Shi J,Malik J.Normalized cuts and image segmentation[J].IEEE Transactions on Pattern Analysis Machine Intelligence,2000,22(8):888-905.
  • 7Wang S,Siskind J M.Image segmentation with ratio cut[J].IEEE Transactions on Pattern Analysis Machine Intelligence,2003,25(6):675-690.
  • 8Sarkar S,Boyer K L.Quantitative measures of change based on feature organization:Eigenvalues and eigenvectors[C] //Proc IEEE Conf Computer Vision and Pattern Recognition,1996.
  • 9Ding C,He X,Zha H,et al.Spectral Min-Max cut for graph partitioning and data clustering[C] //Proc of the IEEE Intl Conf on Data Mining,2001:107-114.
  • 10Duarte A,Fernández F,Sánchez A,et al.A hierarchical social metahcuristie for the Max-Cut problem[C] //Proc EvoCOP,2004.

共引文献83

同被引文献14

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部