Mean-shift of variable window based on the Epanechnikov kernel

被引：7

作者：

Guo, Qingchang ^{[1
]}

Chang, Xiaojuan ^{[2
]}

Chu, Hongxia ^{[3
]}

机构：

[1] Harbin Engn Univ, Automat Coll, Harbin, Heilongjiang, Peoples R China

[2] Harbin Normal Univ, Acheng Coll, Harbin, Peoples R China

[3] Engn Coll Heilongjiang, Harbin, Peoples R China

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS | 2007年

关键词：

mean-shift; kernel function; convergence;

D O I：

10.1109/ICMA.2007.4303914

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mean shift is an effectively iterative algorithm, which has been widely used in image processing and computer vision. The monotonicity of the density based on the mean shift of the variable window and the convergence of the mean shift produce are not been strictly proved. The convergence of mean shift produce is proved according to Cauchy Convergence Criterion. The whole increasing of the density according to the Epanechnikov kernel is proved.

引用

页码：2314 / +

页数：3

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