Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke Environment
Identification of flames to detect fires is hindered by the smoke generated from Chinese incense in traditional temples. Especially during holiday periods, smoke presents a large influence on the effectiveness of image-based flame identification. To have a deep understanding of the incense smoke imp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Series: | Fire |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6255/6/7/270 |
| _version_ | 1797589279390564352 |
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| author | Biao Sun Weishan Zhang Wei Wang Danping Hao |
| author_facet | Biao Sun Weishan Zhang Wei Wang Danping Hao |
| author_sort | Biao Sun |
| collection | DOAJ |
| description | Identification of flames to detect fires is hindered by the smoke generated from Chinese incense in traditional temples. Especially during holiday periods, smoke presents a large influence on the effectiveness of image-based flame identification. To have a deep understanding of the incense smoke impacting the flame outline, a series of tests were conducted to study the flame, varying incense smoke concentration and test time, respectively. It is found that when the flame is exposed to a thin incense smoke environment, nearly all the methods used for flame identification are effective. When the flame is surrounded by thick smoke, the flame image after treating by the self-adaptive image histogram equalization method is blurry. When the retinex algorithm is used for image treatment, the blue color near the flame is detected, which enlarges the flame area detection. The retinex algorithm can be used to obtain a clear flame outline even when the flame is exposed to a cloud of thick smoke. This is important for flame identification in the traditional Chinese temples where the thick smoke surrounds them, especially during national holiday periods. This work attempts to provide a potential method for flame identification and improve the safety level of historic buildings. |
| first_indexed | 2024-03-11T01:05:18Z |
| format | Article |
| id | doaj.art-019437a0fc16400e8d366ffa9ef650b8 |
| institution | Directory Open Access Journal |
| issn | 2571-6255 |
| language | English |
| last_indexed | 2024-03-11T01:05:18Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fire |
| spelling | doaj.art-019437a0fc16400e8d366ffa9ef650b82023-11-18T19:17:40ZengMDPI AGFire2571-62552023-07-016727010.3390/fire6070270Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke EnvironmentBiao Sun0Weishan Zhang1Wei Wang2Danping Hao3School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, ChinaDepartment of Public Security, Sichuan Police College, Luzhou 646000, ChinaShanghai Fire Research Institute of MEM, Shanghai 200032, ChinaSchool of Emergency Management and Safety Engineering, China University of Mining & Technology, Beijing 100080, ChinaIdentification of flames to detect fires is hindered by the smoke generated from Chinese incense in traditional temples. Especially during holiday periods, smoke presents a large influence on the effectiveness of image-based flame identification. To have a deep understanding of the incense smoke impacting the flame outline, a series of tests were conducted to study the flame, varying incense smoke concentration and test time, respectively. It is found that when the flame is exposed to a thin incense smoke environment, nearly all the methods used for flame identification are effective. When the flame is surrounded by thick smoke, the flame image after treating by the self-adaptive image histogram equalization method is blurry. When the retinex algorithm is used for image treatment, the blue color near the flame is detected, which enlarges the flame area detection. The retinex algorithm can be used to obtain a clear flame outline even when the flame is exposed to a cloud of thick smoke. This is important for flame identification in the traditional Chinese temples where the thick smoke surrounds them, especially during national holiday periods. This work attempts to provide a potential method for flame identification and improve the safety level of historic buildings.https://www.mdpi.com/2571-6255/6/7/270combustionhistoric building fireincense smokeflame identification methodwooden structures |
| spellingShingle | Biao Sun Weishan Zhang Wei Wang Danping Hao Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke Environment Fire combustion historic building fire incense smoke flame identification method wooden structures |
| title | Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke Environment |
| title_full | Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke Environment |
| title_fullStr | Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke Environment |
| title_full_unstemmed | Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke Environment |
| title_short | Study on the Image Processing Methods for a Flame Exposed to an Incense Smoke Environment |
| title_sort | study on the image processing methods for a flame exposed to an incense smoke environment |
| topic | combustion historic building fire incense smoke flame identification method wooden structures |
| url | https://www.mdpi.com/2571-6255/6/7/270 |
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