Rotation moment invariants for recognition of symmetric objects

被引：115

作者：

Flusser, Jan ^{[1
]}

Suk, Tomas ^{[1
]}

机构：

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

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2006年 / 15卷 / 12期

关键词：

complex moments; moment invariants; N-fold rotation symmetry; symmetric objects;

D O I：

10.1109/TIP.2006.884913

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new set of moment invariants with respect to rotation, translation, and scaling suitable for recognition of objects having N-fold rotation symmetry are presented. Moment invariants described earlier cannot be used for this purpose because most moments of symmetric objects vanish. The invariants proposed here are based on complex moments. Their independence and completeness are proven theoretically and their performance is demonstrated by experiments.

引用

页码：3784 / 3790

页数：7

共 33 条

[31] Using Zernike moments for the illumination and geometry invariant classification of multispectral texture
Wang, LZ
Healey, G
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (02) : 196 - 203
[32] SCENE MATCHING WITH INVARIANT MOMENTS
WONG, RY
HALL, EL
[J]. COMPUTER GRAPHICS AND IMAGE PROCESSING, 1978, 8 (01): : 16 - 24
[33] GENERATION OF MOMENT INVARIANTS AND THEIR USES OF CHARACTER-RECOGNITION
WONG, WH
SIU, WC
LAM, KM
[J]. PATTERN RECOGNITION LETTERS, 1995, 16 (02) : 115 - 123

← 1 2 3 4 →