Recognition of blurred images by the method of moments

被引：75

作者：

Flusser, J

Suk, T

Saic, S

机构：

[1] Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1996年 / 5卷 / 03期

关键词：

D O I：

10.1109/83.491327

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This correspondence is devoted to the feature-based recognition of blurred images acquired by a linear shift-invariant imaging system against an image database. The proposed approach consists of describing images by features that are invariant with respect to blur and recognizing images in the feature space. The PSF identification and image restoration are not required. A set of symmetric blur invariants based on image moments is introduced, A numerical experiment is presented to illustrate the utilization of the invariants for blurred image recognition. Robustness of the features is also briefly discussed.

引用

页码：533 / 538

页数：6

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