Citation
Abd Wahab, Mohd Helmy and Latip, Rohaya and Zakaria, Nasriah and Abdul Salam, Rosalina
(2013)
Image contrast enhancement for outdoor machine vision applications.
In: 2013 International Conference of Soft Computing and Pattern Recognition (SoCPaR), 15-18 Dec. 2013, Hanoi, Vietnam. (pp. 377-383).
Abstract
Outdoor machine vision is getting a concern nowadays. Ranging from surveillance and monitoring system to automotive system such as driver assistance system require vision application or artificial eye to keep monitoring the situations. However, most of these applications works very well during clear weather and degrade during bad weather due to the atmospheric particles mitigate the quality of vision system. This paper discuss the state of the art of image enhancement techniques used to adjust the contrast of an outdoor image degrade by fog, haze, and rain. A brief overview of bad weather will be discussed and several recent techniques on removing fog, haze and rain are discussed.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| DOI Number: | https://doi.org/10.1109/SOCPAR.2013.7054162 |
| Publisher: | IEEE (IEEE Xplore) |
| Keywords: | Bad weather; Rain; Fog; Haze; Machine vision; Image enhancement |
| Depositing User: | Nursyafinaz Mohd Noh |
| Date Deposited: | 03 Nov 2015 03:04 |
| Last Modified: | 03 Nov 2015 03:04 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/SOCPAR.2013.7054162 |
| URI: | http://psasir.upm.edu.my/id/eprint/41300 |
| Statistic Details: | View Download Statistic |
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