Combined blur and affine moment invariants and their use in pattern recognition

被引：91

作者：

Suk, T ^{[1
]}

Flusser, J ^{[1
]}

机构：

[1] Acad Sci Czech Republ, Inst Informat Theory & Automat, CR-18208 Prague 8, Czech Republic

来源：

PATTERN RECOGNITION | 2003年 / 36卷 / 12期

关键词：

degraded image; blur invariants; affine moment invariants; combined invariants; object recognition;

D O I：

10.1016/S0031-3203(03)00187-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper is devoted to the recognition of objects and patterns deformed by imaging geometry as well as by unknown blurring. We introduce a new class of features invariant simultaneously to blurring with a centrosymmetric PSF and to affine transformation. As we prove in the paper, they can be constructed by combining affine moment invariants and blur invariants derived earlier. Combined invariants allow to recognize objects in the degraded scene without any restoration. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：2895 / 2907

页数：13

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