Image contrast enhancement for outdoor machine vision applications
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...
| Principais autores: | , , , |
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| Formato: | Conference or Workshop Item |
| Publicado em: |
IEEE (IEEE Xplore)
2013
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| _version_ | 1825949759490228224 |
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| author | Abd Wahab, Mohd Helmy Latip, Rohaya Zakaria, Nasriah Abdul Salam, Rosalina |
| author_facet | Abd Wahab, Mohd Helmy Latip, Rohaya Zakaria, Nasriah Abdul Salam, Rosalina |
| author_sort | Abd Wahab, Mohd Helmy |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T08:49:30Z |
| format | Conference or Workshop Item |
| id | upm.eprints-41300 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T08:49:30Z |
| publishDate | 2013 |
| publisher | IEEE (IEEE Xplore) |
| record_format | dspace |
| spelling | upm.eprints-413002015-11-03T03:04:42Z http://psasir.upm.edu.my/id/eprint/41300/ Image contrast enhancement for outdoor machine vision applications Abd Wahab, Mohd Helmy Latip, Rohaya Zakaria, Nasriah Abdul Salam, Rosalina 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. IEEE (IEEE Xplore) 2013 Conference or Workshop Item NonPeerReviewed 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). 10.1109/SOCPAR.2013.7054162 |
| spellingShingle | Abd Wahab, Mohd Helmy Latip, Rohaya Zakaria, Nasriah Abdul Salam, Rosalina Image contrast enhancement for outdoor machine vision applications |
| title | Image contrast enhancement for outdoor machine vision applications |
| title_full | Image contrast enhancement for outdoor machine vision applications |
| title_fullStr | Image contrast enhancement for outdoor machine vision applications |
| title_full_unstemmed | Image contrast enhancement for outdoor machine vision applications |
| title_short | Image contrast enhancement for outdoor machine vision applications |
| title_sort | image contrast enhancement for outdoor machine vision applications |
| work_keys_str_mv | AT abdwahabmohdhelmy imagecontrastenhancementforoutdoormachinevisionapplications AT latiprohaya imagecontrastenhancementforoutdoormachinevisionapplications AT zakarianasriah imagecontrastenhancementforoutdoormachinevisionapplications AT abdulsalamrosalina imagecontrastenhancementforoutdoormachinevisionapplications |