Choquet integral-based morphological operators

被引:0
|
作者
Hocaoglu, AK [1 ]
Gader, P [1 ]
机构
[1] Univ Missouri, Dept Comp Engn & Comp Sci, Columbia, MO 65211 USA
来源
NONLINEAR IMAGE PROCESSING X | 1999年 / 3646卷
关键词
image processing; optimal filtering; fuzzy measure; target detection; multi-layer filtering; morphology;
D O I
10.1117/12.341101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Gray-scale morphological operators are commonly employed in image processing applications, such, as texture analysis, target detection and image enhancement. One major problem with these operators is their sensitivity to noise. Another issue is finding the right structuring elements for a process. This paper describes: Choquet integral-based morphological operators. These operators do not necessarily use max and min and therefore they are less sensitive to noise. In this paper, we also introduce a technique to find an optimal gray scale structuring element. These developments yield applications, including but not limited to target detection and multi-layer filtering.
引用
收藏
页码:46 / 55
页数:10
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