A study of scattered particles removal based on contrast recovery

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

Abstract

The maximum limitation of the human sight without the assist of any equipment is 1000 metre based on International Commission on Illumination. The use of a camera at the outside location for the purpose of navigation, monitoring, remote sensing or robotic movement usually yield images interrupted by haze, fog, smoke, steam or water drops. So that, the image usually experiences low contrast, obscure, and difficult to identify targets. This study looks towards the patterns of the exists scattered particles removal methods based on the contrast recovery. The experiments setting to look the contrast level by use contrast to noise ratio and cyclomatic complexity to measure the level of complexity. Images with four level scattered particles and light source from Fog Road Image Database (FRIDA). This study found that the exists method usually not able to remove scattered particles due to low and strong lighting sources.

Original languageEnglish
Title of host publication2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages376-381
Number of pages6
ISBN (Electronic)9781509028894
DOIs
Publication statusPublished - 27 Mar 2017
Event2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016 - Putrajaya, Malaysia
Duration: 14 Nov 201616 Nov 2016

Other

Other2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016
CountryMalaysia
CityPutrajaya
Period14/11/1616/11/16

Fingerprint

Fog
Lighting
recovery
Recovery
fog
Smoke
Light sources
Remote sensing
Navigation
Robotics
Steam
Cameras
haze
Monitoring
smoke
visual perception
robotics
navigation
roads
steam

Keywords

  • Contrast recovery
  • Fog removal
  • Haze removal
  • Image enhancement
  • Scattered particles removal
  • Single image

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Control and Systems Engineering
  • Hardware and Architecture
  • Computer Networks and Communications
  • Instrumentation

Cite this

Talib, M. L. B., Nasrudin, M. F., & Sheikh Abdullah, S. N. H. (2017). A study of scattered particles removal based on contrast recovery. In 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016 (pp. 376-381). [7888073] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAEES.2016.7888073

A study of scattered particles removal based on contrast recovery. / Talib, Muhamad Lazim Bin; Nasrudin, Mohammad Faidzul; Sheikh Abdullah, Siti Norul Huda.

2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 376-381 7888073.

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

Talib, MLB, Nasrudin, MF & Sheikh Abdullah, SNH 2017, A study of scattered particles removal based on contrast recovery. in 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016., 7888073, Institute of Electrical and Electronics Engineers Inc., pp. 376-381, 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016, Putrajaya, Malaysia, 14/11/16. https://doi.org/10.1109/ICAEES.2016.7888073
Talib MLB, Nasrudin MF, Sheikh Abdullah SNH. A study of scattered particles removal based on contrast recovery. In 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 376-381. 7888073 https://doi.org/10.1109/ICAEES.2016.7888073
Talib, Muhamad Lazim Bin ; Nasrudin, Mohammad Faidzul ; Sheikh Abdullah, Siti Norul Huda. / A study of scattered particles removal based on contrast recovery. 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 376-381
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