Robust comparison of binary images

被引：32

作者：

Paumard, J ^{[1
]}

机构：

[1] Ecole Normale Super, CMLA, F-94235 Cachan, France

来源：

PATTERN RECOGNITION LETTERS | 1997年 / 18卷 / 10期

关键词：

binary image comparison; Hausdorff distance;

D O I：

10.1016/S0167-8655(97)80002-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Hausdorff distance between planar sets of points is known to be a good method to compare binary images. We present here a modification of this distance, called the censored Hausdorff distance. It allows robust comparisons of noisy binary images. The definition of the Voronoi surfaces is extended to this new distance, as well as the definition of the inclusion field. We then show that it is possible to localize a small binary pattern in an image. (C) 1997 Elsevier Science B.V.

引用

页码：1057 / 1063

页数：7