Using similarity measures for histogram comparison

被引：0
|
作者：
Van der Weken, D [1 ]
Nachtegael, M [1 ]
Kerre, E [1 ]
机构：
[1] Univ Ghent, B-9000 Ghent, Belgium
来源：
FUZZY SETS AND SYSTEMS - IFSA 2003, PROCEEDINGS | 2003年 / 2715卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Objective quality measures or measures of comparison are of great importance in the field of image processing. Such measures are needed for the evaluation and the comparison of different algorithms that are designed to solve a similar problem, and consequently they serve as a basis on which one algorithm is preferred above the other. Similarity measures, originally introduced to compare two fuzzy sets, can be applied in different ways to images. In [2] we gave an overview of similarity measures which can be applied straightforward to images. In this paper, we will show how some similarity measures can be applied to normalized histograms of images.
引用
收藏
页码：396 / 403
页数：8
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