A quick algorithm to detect LED array from the background in image sensor based visible light communication

Peng Liu, Xin Chen, Yue Li, Jiang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A quick detection algorithm based on the novel designed LED array and the connected component labeling technique is proposed and applied in image sensor based visible light communication (IS-VLC) system. Inspired by the Quick Response (QR) code design, the four corner LEDs on the array are defined as flag LEDs and three of them maintain on status all the time. A novel method to recognize flag LEDs by searching an isosceles triangle with the largest area is also proposed. By means of recognizing the flag LEDs, the proposed algorithm is able to detect and extract the LED array from the background quickly even though relative rotation exists between the LED array and an image sensor, which is particularly suitable for the LED-ID applications such as indoor positioning. An IS-VLC system is designed and the experiment is conducted to evaluate the performance. Compared with the Hough transform based LED array detection, it is proved that the proposed algorithm has lower bit error rate (BER) and shorter operating time.

Original languageEnglish
Title of host publicationIST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538666289
DOIs
Publication statusPublished - 2018 Dec 14
Event2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018 - Krakow, Poland
Duration: 2018 Oct 162018 Oct 18

Publication series

NameIST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings

Other

Other2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018
Country/TerritoryPoland
CityKrakow
Period18/10/1618/10/18

Keywords

  • VLC
  • connected component labeling
  • hough transform
  • image sensor communication

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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