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SIMILARITY MEASURES IN COMPUTER VISION

被引：12
|
作者：
BONINSEGNA, M
ROSSI, M
机构：
[1] Istituto per la Ricerca Scientifica e Technologica, Località Panté di Povo
来源：
PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 12期
关键词：
SIMILARITY MEASURES; MEDIAN AND EUCLIDEAN DISTANCES; TEMPLATE MATCHING;
D O I：
10.1016/0167-8655(94)90116-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A similarity measure is needed in many Computer Vision problems. Although Euclidean distance has traditionally been used, median distance was recently proposed as an alternative, mostly due to its robustness properties. In this paper, a parametric class of distances is presented which allow to introduce a notion of similarity depending on the problem being considered.
引用
收藏
页码：1255 / 1260
页数：6
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