Recognition of bridges over water based on fracatal and rough sets theory in aerial photography IR image

Junjie Zheng*, Xiaoke Yan, Caicheng Shi, Peikun He

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In the paper, a novel algorithm based on fractal and rough sets theory for the detection of bridges in image sequences that also contain clutter is presented. The algorithm is established based on fractal theory, which is accordant to the concept that singular local fractal dimension (LFD) will be determined at edges. The bridge is detected based on indiscemibility relation of Rough sets theory and is recognized based on the geometric characters of bridges. Experiments on the image tracker based on TMS320C6416 were conducted, and the results demonstrated that the approach performs well in automatic recognition accuracy and computational efficiency.

Original languageEnglish
Title of host publication8th International Conference on Signal Processing, ICSP 2006
DOIs
Publication statusPublished - 2007
Event8th International Conference on Signal Processing, ICSP 2006 - Guilin, China
Duration: 16 Nov 200620 Nov 2006

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume4

Conference

Conference8th International Conference on Signal Processing, ICSP 2006
Country/TerritoryChina
CityGuilin
Period16/11/0620/11/06

Keywords

  • Bridge
  • Fractal
  • Mathematical morphological
  • Target recognition

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