Real-time computation of Zernike moments

被引：29

作者：

Kotoulas, L ^{[1
]}

Andreadis, I ^{[1
]}

机构：

[1] Democritus Univ Thrace, Dept Elect & Comp Engn, Elect Lab, Sect Elect & Informat Syst Technol, GR-67100 Xanthi, Greece

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2005年 / 15卷 / 06期

关键词：

FPGAs; image retrieval; real-time image analysis; Zernike moments;

D O I：

10.1109/TCSVT.2005.848302

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Zernike moments have been proven to be very powerful image descriptors. However, their computational complexity makes them unsuitable for real-time applications. In this paper, a mathematical relationship between geometric and Zernike moments is extracted. In this way, the computation of geometric moments is adequate to derive Zernike moments. Since geometric moments can be efficiently implemented in hardware and their calculation can be performed in real-time, we propose here a new real-time hardware architecture for the computation of Zernike moments. This method outperforms existing software approaches, especially for large images, allowing real-time processing of images up to 4 Mpixels.

引用

页码：801 / 809

页数：9

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