RECOGNITION OF PATTERNS IN VECTOR FIELDS BY GAUSSIAN-HERMITE INVARIANTS

被引：0

作者：

Yang, Bo ^{[1
]}

Kostkova, Jitka ^{[2
]}

Flusser, Jan ^{[2
]}

Suk, Tomas ^{[2
]}

Bujack, Roxana ^{[3
]}

机构：

[1] Northwestern Polytech Univ, Sch Automat, 127 West Youyi Rd, Xian 710072, Shaanxi, Peoples R China

[2] Czech Acad Sci, Inst Informat Theory & Automat, Vodarenskou Vezi 4, Prague 18208 8, Czech Republic

[3] Los Alamos Natl Lab, Data Sci Scale Team, POB 1663, Los Alamos, NM 87545 USA

来源：

2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2017年

基金：

中国国家自然科学基金;

关键词：

Vector field; total rotation; invariants; Gaussian-Hermite moments; template matching; ROTATION; MOMENTS;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

We propose a method for the recognition of vector field patterns under an unknown rotation. The rotation is modeled as a total transformation, which is applied on both spatial coordinates and field values. The invariants are constructed from orthogonal Gaussian-Hermite moments. Their numerical stability and recognition power are shown to be better than those of the invariants published so far.

引用

页码：2359 / 2363

页数：5

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