Biologically Motivated Feature Extraction Using the Spiral Architecture

被引：0

作者：

Scotney, Bryan ^{[1
]}

Coleman, Sonya ^{[2
]}

Gardiner, Bryan ^{[2
]}

机构：

[1] Univ Ulster, Sch Comp & Informat Engn, Coleraine BT52 1SA, Londonderry, North Ireland

[2] Univ Ulster, Sch Comp & Intelligent Syst, Magee BT48 7JL, North Ireland

来源：

2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年

关键词：

hexagonal images; spiral architecture; eye tremor;

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：

We present a biologically motivated approach to fast feature extraction on hexagonal pixel based images using the concept of eye tremor in combination with the use of the spiral architecture and convolution of non-overlapping gradient masks. We generate seven feature maps "a-trous" that can be combined into a single complete feature map, and we demonstrate that this approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table on hexagonal images.

引用

页码：221 / 224

页数：4

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