Automated image recognition of public lighting luminaries

被引：0

作者：

Broetto, Raphael Santos ^{[1
]}

Pereira Filho, Jose Goncalves ^{[1
]}

Varejao, Flavio Miguel ^{[1
]}

Candeia, Andre Bernadi ^{[2
]}

机构：

[1] Univ Fed Espirito Santo, Dept Informat, Vitoria, Brazil

[2] EDP Escelsa, Serra, Brazil

来源：

2013 IEEE 20TH INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS) | 2013年

关键词：

shape and texture descriptors; digital image processing; pattern recognition; image classification; CLASSIFICATION; ALGORITHMS;

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：

Brazilian energy distribution companies need to frequently update their database of the public lighting network. Since changes on this network are frequently not reported, it is important to monitor where they are made. An electronic device is under development for making this task easier. One component of this device uses image processing and recognition techniques to identify the luminaire models of the public lighting spot. This paper presents the comparative analysis of techniques for image description and classification we have performed in order to discriminate different models of luminaires.

引用

页码：657 / 660

页数：4

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