Interest Points as a Focus Measure

被引：0

作者：

Mekyska, Jiri ^{[1
]}

Zukal, Martin ^{[1
]}

Cika, Petr ^{[1
]}

Smekal, Zdenek ^{[1
]}

机构：

[1] Brno Univ Technol, Brno 61200, Czech Republic

来源：

2012 35TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2012年

关键词：

Energy of image gradient; Fast Hessian; focus measure; interest points detector; sum-modified Laplacian;

D O I：

暂无

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：

In this paper, we propose a novel focus measure that is based on algorithms for interest point detection, particularly on the Fast Hessian detector. The proposed measure is compared with the energy of image gradient and sum-modified Laplacian that are commonly used as focus measures to test its reliability and performance. The measures have been tested on a newly created database containing 84 images (12 images for seven objects). Our algorithm proved to be a good focus measure satisfying all the requirements described in the paper, in some cases it outperformed the other two measures.

引用

页码：774 / 778

页数：5

共 12 条

[1]

[Anonymous], 2001, INT WORKSH STAT COMP

[2] SURF: Speeded up robust features [J].